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Volume 80: International Conference on Machine Learning, 10-15 July 2018, Stockholmsmässan, Stockholm Sweden
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Editors: Jennifer Dy, Andreas Krause
Improved Regret Bounds for Thompson Sampling in Linear Quadratic Control Problems
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1-9
State Abstractions for Lifelong Reinforcement Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:10-19
Policy and Value Transfer in Lifelong Reinforcement Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:20-29
INSPECTRE: Privately Estimating the Unseen
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:30-39
Learning Representations and Generative Models for 3D Point Clouds
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:40-49
Discovering Interpretable Representations for Both Deep Generative and Discriminative Models
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:50-59
A Reductions Approach to Fair Classification
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:60-69
Accelerated Spectral Ranking
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:70-79
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:80-88
Minimal I-MAP MCMC for Scalable Structure Discovery in Causal DAG Models
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:89-98
Proportional Allocation: Simple, Distributed, and Diverse Matching with High Entropy
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:99-108
Bucket Renormalization for Approximate Inference
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:109-118
oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:119-128
Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:129-138
AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:139-148
Information Theoretic Guarantees for Empirical Risk Minimization with Applications to Model Selection and Large-Scale Optimization
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:149-158
Fixing a Broken ELBO
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:159-168
Differentially Private Identity and Equivalence Testing of Discrete Distributions
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:169-178
Katyusha X: Simple Momentum Method for Stochastic Sum-of-Nonconvex Optimization
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:179-185
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Make the Minority Great Again: First-Order Regret Bound for Contextual Bandits
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:186-194
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Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:195-204
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Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:205-214
MAGAN: Aligning Biological Manifolds
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:215-223
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Subspace Embedding and Linear Regression with Orlicz Norm
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:224-233
Efficient Gradient-Free Variational Inference using Policy Search
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:234-243
On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:244-253
Stronger Generalization Bounds for Deep Nets via a Compression Approach
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:254-263
Lipschitz Continuity in Model-based Reinforcement Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:264-273
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:274-283
Synthesizing Robust Adversarial Examples
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:284-293
Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:294-303
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Greed is Still Good: Maximizing Monotone Submodular+Supermodular (BP) Functions
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:304-313
Comparing Dynamics: Deep Neural Networks versus Glassy Systems
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:314-323
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SMAC: Simultaneous Mapping and Clustering Using Spectral Decompositions
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:324-333
A Boo(n) for Evaluating Architecture Performance
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:334-343
Learning to Branch
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:344-353
The Mechanics of n-Player Differentiable Games
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:354-363
Spline Filters For End-to-End Deep Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:364-373
A Spline Theory of Deep Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:374-383
Approximation Guarantees for Adaptive Sampling
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:384-393
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:394-403
Dissecting Adam: The Sign, Magnitude and Variance of Stochastic Gradients
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:404-413
Differentially Private Database Release via Kernel Mean Embeddings
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:414-422
Improving Optimization for Models With Continuous Symmetry Breaking
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:423-432
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Improved Training of Generative Adversarial Networks Using Representative Features
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:433-442
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Using Inherent Structures to design Lean 2-layer RBMs
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:443-451
Classification from Pairwise Similarity and Unlabeled Data
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:452-461
Bayesian Optimization of Combinatorial Structures
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:462-471
Geodesic Convolutional Shape Optimization
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:472-481
Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:482-490
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Testing Sparsity over Known and Unknown Bases
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:491-500
Transfer in Deep Reinforcement Learning Using Successor Features and Generalised Policy Improvement
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:501-510
Measuring abstract reasoning in neural networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:511-520
Gradient descent with identity initialization efficiently learns positive definite linear transformations by deep residual networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:521-530
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Mutual Information Neural Estimation
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:531-540
To Understand Deep Learning We Need to Understand Kernel Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:541-549
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Understanding and Simplifying One-Shot Architecture Search
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:550-559
signSGD: Compressed Optimisation for Non-Convex Problems
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:560-569
Distributed Clustering via LSH Based Data Partitioning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:570-579
Autoregressive Convolutional Neural Networks for Asynchronous Time Series
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:580-589
Adaptive Sampled Softmax with Kernel Based Sampling
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:590-599
Optimizing the Latent Space of Generative Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:600-609
NetGAN: Generating Graphs via Random Walks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:610-619
A Progressive Batching L-BFGS Method for Machine Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:620-629
Prediction Rule Reshaping
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:630-638
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QuantTree: Histograms for Change Detection in Multivariate Data Streams
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:639-648
Matrix Norms in Data Streams: Faster, Multi-Pass and Row-Order
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:649-658
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Predict and Constrain: Modeling Cardinality in Deep Structured Prediction
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:659-667
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Quasi-Monte Carlo Variational Inference
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:668-677
Path-Level Network Transformation for Efficient Architecture Search
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:678-687
Improved large-scale graph learning through ridge spectral sparsification
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:688-697
Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:698-706
Adversarial Learning with Local Coordinate Coding
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:707-715
Fair and Diverse DPP-Based Data Summarization
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:716-725
Conditional Noise-Contrastive Estimation of Unnormalised Models
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:726-734
Adversarial Time-to-Event Modeling
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:735-744
Stability and Generalization of Learning Algorithms that Converge to Global Optima
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:745-754
Learning and Memorization
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:755-763
On the Theory of Variance Reduction for Stochastic Gradient Monte Carlo
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:764-773
Hierarchical Clustering with Structural Constraints
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:774-783
Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:784-793
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:794-803
Weakly Submodular Maximization Beyond Cardinality Constraints: Does Randomization Help Greedy?
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:804-813
Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:814-823
Continuous-Time Flows for Efficient Inference and Density Estimation
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:824-833
Scalable Bilinear Pi Learning Using State and Action Features
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:834-843
Stein Points
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:844-853
Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:854-863
PixelSNAIL: An Improved Autoregressive Generative Model
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:864-872
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Dynamical Isometry and a Mean Field Theory of RNNs: Gating Enables Signal Propagation in Recurrent Neural Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:873-882
Learning to Explain: An Information-Theoretic Perspective on Model Interpretation
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:883-892
Variational Inference and Model Selection with Generalized Evidence Bounds
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:893-902
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:903-912
SADAGRAD: Strongly Adaptive Stochastic Gradient Methods
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:913-921
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Covariate Adjusted Precision Matrix Estimation via Nonconvex Optimization
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:922-931
End-to-End Learning for the Deep Multivariate Probit Model
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:932-941
Stochastic Training of Graph Convolutional Networks with Variance Reduction
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:942-950
Extreme Learning to Rank via Low Rank Assumption
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:951-960
Learning a Mixture of Two Multinomial Logits
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:961-969
Structured Evolution with Compact Architectures for Scalable Policy Optimization
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:970-978
Path Consistency Learning in Tsallis Entropy Regularized MDPs
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:979-988
An Iterative, Sketching-based Framework for Ridge Regression
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:989-998
Stochastic Wasserstein Barycenters
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:999-1008
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Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1009-1018
On Acceleration with Noise-Corrupted Gradients
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1019-1028
Online Linear Quadratic Control
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1029-1038
GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1039-1048
Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1049-1058
Online Learning with Abstention
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1059-1067
Constrained Interacting Submodular Groupings
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1068-1077
Inference Suboptimality in Variational Autoencoders
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1078-1086
Mix & Match Agent Curricula for Reinforcement Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1087-1095
Implicit Quantile Networks for Distributional Reinforcement Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1096-1105
Learning Steady-States of Iterative Algorithms over Graphs
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1106-1114
Adversarial Attack on Graph Structured Data
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1115-1124
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SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1125-1134
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Compressing Neural Networks using the Variational Information Bottleneck
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1135-1144
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Asynchronous Byzantine Machine Learning (the case of SGD)
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1145-1154
Escaping Saddles with Stochastic Gradients
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1155-1164
Minibatch Gibbs Sampling on Large Graphical Models
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1165-1173
Stochastic Video Generation with a Learned Prior
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1174-1183
Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1184-1193
Accurate Inference for Adaptive Linear Models
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1194-1203
Variational Network Inference: Strong and Stable with Concrete Support
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1204-1213
Modeling Sparse Deviations for Compressed Sensing using Generative Models
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1214-1223
Alternating Randomized Block Coordinate Descent
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1224-1232
Learning to Act in Decentralized Partially Observable MDPs
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1233-1242
Leveraging Well-Conditioned Bases: Streaming and Distributed Summaries in Minkowski $p$-Norms
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1243-1251
Noisin: Unbiased Regularization for Recurrent Neural Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1252-1261
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Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1262-1270
Coordinated Exploration in Concurrent Reinforcement Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1271-1279
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Probabilistic Recurrent State-Space Models
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1280-1289
Randomized Block Cubic Newton Method
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1290-1298
Low-Rank Riemannian Optimization on Positive Semidefinite Stochastic Matrices with Applications to Graph Clustering
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1299-1308
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Essentially No Barriers in Neural Network Energy Landscape
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1309-1318
Weakly Consistent Optimal Pricing Algorithms in Repeated Posted-Price Auctions with Strategic Buyer
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1319-1328
On the Power of Over-parametrization in Neural Networks with Quadratic Activation
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1329-1338
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Gradient Descent Learns One-hidden-layer CNN: Don’t be Afraid of Spurious Local Minima
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1339-1348
Investigating Human Priors for Playing Video Games
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1349-1357
[abs][Download PDF]
A Distributed Second-Order Algorithm You Can Trust
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1358-1366
Computational Optimal Transport: Complexity by Accelerated Gradient Descent Is Better Than by Sinkhorn’s Algorithm
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1367-1376
Entropy-SGD optimizes the prior of a PAC-Bayes bound: Generalization properties of Entropy-SGD and data-dependent priors
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1377-1386
Beyond the One-Step Greedy Approach in Reinforcement Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1387-1396
Parallel and Streaming Algorithms for K-Core Decomposition
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1397-1406
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IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1407-1416
Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF)
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1417-1426
The Limits of Maxing, Ranking, and Preference Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1427-1436
BOHB: Robust and Efficient Hyperparameter Optimization at Scale
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1437-1446
More Robust Doubly Robust Off-policy Evaluation
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1447-1456
Efficient and Consistent Adversarial Bipartite Matching
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1457-1466
Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1467-1476
CRVI: Convex Relaxation for Variational Inference
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1477-1485
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Fourier Policy Gradients
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1486-1495
Nonparametric variable importance using an augmented neural network with multi-task learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1496-1505
Closed-form Marginal Likelihood in Gamma-Poisson Matrix Factorization
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1506-1514
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Automatic Goal Generation for Reinforcement Learning Agents
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1515-1528
DiCE: The Infinitely Differentiable Monte Carlo Estimator
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1529-1538
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Practical Contextual Bandits with Regression Oracles
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1539-1548
Generative Temporal Models with Spatial Memory for Partially Observed Environments
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1549-1558
ADMM and Accelerated ADMM as Continuous Dynamical Systems
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1559-1567
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Bilevel Programming for Hyperparameter Optimization and Meta-Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1568-1577
Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1578-1586
Addressing Function Approximation Error in Actor-Critic Methods
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1587-1596
Clipped Action Policy Gradient
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1597-1606
Born Again Neural Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1607-1616
[abs][Download PDF]
The Generalization Error of Dictionary Learning with Moreau Envelopes
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1617-1625
Local Private Hypothesis Testing: Chi-Square Tests
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1626-1635
Inductive Two-Layer Modeling with Parametric Bregman Transfer
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1636-1645
Hyperbolic Entailment Cones for Learning Hierarchical Embeddings
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1646-1655
Parameterized Algorithms for the Matrix Completion Problem
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1656-1665
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Synthesizing Programs for Images using Reinforced Adversarial Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1666-1675
Spotlight: Optimizing Device Placement for Training Deep Neural Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1676-1684
Parallel Bayesian Network Structure Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1685-1694
Structured Output Learning with Abstention: Application to Accurate Opinion Prediction
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1695-1703
Conditional Neural Processes
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1704-1713
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Temporal Poisson Square Root Graphical Models
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1714-1723
Budgeted Experiment Design for Causal Structure Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1724-1733
Linear Spectral Estimators and an Application to Phase Retrieval
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1734-1743
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1744-1753
Learning Maximum-A-Posteriori Perturbation Models for Structured Prediction in Polynomial Time
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1754-1762
Robust and Scalable Models of Microbiome Dynamics
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1763-1772
Non-linear motor control by local learning in spiking neural networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1773-1782
Learning One Convolutional Layer with Overlapping Patches
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1783-1791
Visualizing and Understanding Atari Agents
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1792-1801
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Learning Policy Representations in Multiagent Systems
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1802-1811
Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1812-1821
Learning to search with MCTSnets
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1822-1831
Characterizing Implicit Bias in Terms of Optimization Geometry
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1832-1841
Shampoo: Preconditioned Stochastic Tensor Optimization
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1842-1850
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Latent Space Policies for Hierarchical Reinforcement Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1851-1860
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1861-1870
Comparison-Based Random Forests
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1871-1880
K-Beam Minimax: Efficient Optimization for Deep Adversarial Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1881-1889
Candidates vs. Noises Estimation for Large Multi-Class Classification Problem
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1890-1899
Stein Variational Gradient Descent Without Gradient
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1900-1908
Deep Models of Interactions Across Sets
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1909-1918
Learning Memory Access Patterns
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1919-1928
Fairness Without Demographics in Repeated Loss Minimization
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1929-1938
Multicalibration: Calibration for the (Computationally-Identifiable) Masses
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1939-1948
Recurrent Predictive State Policy Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1949-1958
Learning unknown ODE models with Gaussian processes
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1959-1968
Orthogonal Recurrent Neural Networks with Scaled Cayley Transform
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1969-1978
Fast Bellman Updates for Robust MDPs
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1979-1988
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1989-1998
Sound Abstraction and Decomposition of Probabilistic Programs
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:1999-2008
Gradient Primal-Dual Algorithm Converges to Second-Order Stationary Solution for Nonconvex Distributed Optimization Over Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2009-2018
Variational Bayesian dropout: pitfalls and fixes
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2019-2028
Does Distributionally Robust Supervised Learning Give Robust Classifiers?
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2029-2037
Dissipativity Theory for Accelerating Stochastic Variance Reduction: A Unified Analysis of SVRG and Katyusha Using Semidefinite Programs
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2038-2047
Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2048-2057
Learning Deep ResNet Blocks Sequentially using Boosting Theory
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2058-2067
Learning Hidden Markov Models from Pairwise Co-occurrences with Application to Topic Modeling
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2068-2077
Neural Autoregressive Flows
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2078-2087
Topological mixture estimation
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2088-2097
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Decoupled Parallel Backpropagation with Convergence Guarantee
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2098-2106
Using Reward Machines for High-Level Task Specification and Decomposition in Reinforcement Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2107-2116
Deep Variational Reinforcement Learning for POMDPs
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2117-2126
Attention-based Deep Multiple Instance Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2127-2136
Black-box Adversarial Attacks with Limited Queries and Information
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2137-2146
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Analysis of Minimax Error Rate for Crowdsourcing and Its Application to Worker Clustering Model
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2147-2156
Improving Regression Performance with Distributional Losses
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2157-2166
Deep Density Destructors
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2167-2175
Unbiased Objective Estimation in Predictive Optimization
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2176-2185
Anonymous Walk Embeddings
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2186-2195
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Learning Binary Latent Variable Models: A Tensor Eigenpair Approach
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2196-2205
Firing Bandits: Optimizing Crowdfunding
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2206-2214
Differentially Private Matrix Completion Revisited
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2215-2224
Video Prediction with Appearance and Motion Conditions
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2225-2234
Pathwise Derivatives Beyond the Reparameterization Trick
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2235-2244
Detecting non-causal artifacts in multivariate linear regression models
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2245-2253
A Unified Framework for Structured Low-rank Matrix Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2254-2263
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Efficient end-to-end learning for quantizable representations
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2264-2273
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Exploring Hidden Dimensions in Accelerating Convolutional Neural Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2274-2283
Feedback-Based Tree Search for Reinforcement Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2284-2293
Quickshift++: Provably Good Initializations for Sample-Based Mean Shift
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2294-2303
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MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2304-2313
The Weighted Kendall and High-order Kernels for Permutations
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2314-2322
Junction Tree Variational Autoencoder for Molecular Graph Generation
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2323-2332
Network Global Testing by Counting Graphlets
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2333-2341
Regret Minimization for Partially Observable Deep Reinforcement Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2342-2351
WSNet: Compact and Efficient Networks Through Weight Sampling
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2352-2361
Large-Scale Cox Process Inference using Variational Fourier Features
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2362-2370
Composite Functional Gradient Learning of Generative Adversarial Models
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2371-2379
Kronecker Recurrent Units
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2380-2389
Fast Decoding in Sequence Models Using Discrete Latent Variables
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2390-2399
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Kernel Recursive ABC: Point Estimation with Intractable Likelihood
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2400-2409
Efficient Neural Audio Synthesis
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2410-2419
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Learning Diffusion using Hyperparameters
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2420-2428
Signal and Noise Statistics Oblivious Orthogonal Matching Pursuit
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2429-2438
Residual Unfairness in Fair Machine Learning from Prejudiced Data
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2439-2448
Learn from Your Neighbor: Learning Multi-modal Mappings from Sparse Annotations
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2449-2458
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Semi-Supervised Learning via Compact Latent Space Clustering
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2459-2468
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Policy Optimization with Demonstrations
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2469-2478
Improving Sign Random Projections With Additional Information
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2479-2487
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Let’s be Honest: An Optimal No-Regret Framework for Zero-Sum Games
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2488-2496
Continual Reinforcement Learning with Complex Synapses
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2497-2506
LaVAN: Localized and Visible Adversarial Noise
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2507-2515
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Riemannian Stochastic Recursive Gradient Algorithm
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2516-2524
Not All Samples Are Created Equal: Deep Learning with Importance Sampling
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2525-2534
Feasible Arm Identification
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2535-2543
Scalable Deletion-Robust Submodular Maximization: Data Summarization with Privacy and Fairness Constraints
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2544-2553
Focused Hierarchical RNNs for Conditional Sequence Processing
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2554-2563
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Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2564-2572
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Improved nearest neighbor search using auxiliary information and priority functions
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2573-2581
ContextNet: Deep learning for Star Galaxy Classification
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2582-2590
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Frank-Wolfe with Subsampling Oracle
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2591-2600
Convergence guarantees for a class of non-convex and non-smooth optimization problems
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2601-2610
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2611-2620
Geometry Score: A Method For Comparing Generative Adversarial Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2621-2629
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Blind Justice: Fairness with Encrypted Sensitive Attributes
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2630-2639
Markov Modulated Gaussian Cox Processes for Semi-Stationary Intensity Modeling of Events Data
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2640-2648
Disentangling by Factorising
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2649-2658
Self-Bounded Prediction Suffix Tree via Approximate String Matching
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2659-2667
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2668-2677
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Semi-Amortized Variational Autoencoders
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2678-2687
Neural Relational Inference for Interacting Systems
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2688-2697
An Alternative View: When Does SGD Escape Local Minima?
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2698-2707
Crowdsourcing with Arbitrary Adversaries
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2708-2717
Spatio-temporal Bayesian On-line Changepoint Detection with Model Selection
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2718-2727
Fast Gradient-Based Methods with Exponential Rate: A Hybrid Control Framework
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2728-2736
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Nonconvex Optimization for Regression with Fairness Constraints
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2737-2746
On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2747-2755
Compiling Combinatorial Prediction Games
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2756-2765
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Dynamic Evaluation of Neural Sequence Models
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2766-2775
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Semiparametric Contextual Bandits
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2776-2785
Fast Maximization of Non-Submodular, Monotonic Functions on the Integer Lattice
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2786-2795
Accurate Uncertainties for Deep Learning Using Calibrated Regression
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2796-2804
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Trainable Calibration Measures for Neural Networks from Kernel Mean Embeddings
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2805-2814
Data-Dependent Stability of Stochastic Gradient Descent
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2815-2824
Explicit Inductive Bias for Transfer Learning with Convolutional Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2825-2834
Understanding the Loss Surface of Neural Networks for Binary Classification
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2835-2843
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Mixed batches and symmetric discriminators for GAN training
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2844-2853
Binary Partitions with Approximate Minimum Impurity
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2854-2862
Canonical Tensor Decomposition for Knowledge Base Completion
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2863-2872
Generalization without Systematicity: On the Compositional Skills of Sequence-to-Sequence Recurrent Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2873-2882
An Estimation and Analysis Framework for the Rasch Model
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2883-2891
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Partial Optimality and Fast Lower Bounds for Weighted Correlation Clustering
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2892-2901
Deep Linear Networks with Arbitrary Loss: All Local Minima Are Global
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2902-2907
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The Multilinear Structure of ReLU Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2908-2916
Hierarchical Imitation and Reinforcement Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2917-2926
Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2927-2936
Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2937-2946
Gated Path Planning Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2947-2955
Deep Asymmetric Multi-task Feature Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2956-2964
Noise2Noise: Learning Image Restoration without Clean Data
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2965-2974
Out-of-sample extension of graph adjacency spectral embedding
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2975-2984
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An Optimal Control Approach to Deep Learning and Applications to Discrete-Weight Neural Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2985-2994
Towards Binary-Valued Gates for Robust LSTM Training
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:2995-3004
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On the Limitations of First-Order Approximation in GAN Dynamics
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3005-3013
Submodular Hypergraphs: p-Laplacians, Cheeger Inequalities and Spectral Clustering
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3014-3023
The Well-Tempered Lasso
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3024-3032
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Estimation of Markov Chain via Rank-Constrained Likelihood
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3033-3042
Asynchronous Decentralized Parallel Stochastic Gradient Descent
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3043-3052
RLlib: Abstractions for Distributed Reinforcement Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3053-3062
On the Spectrum of Random Features Maps of High Dimensional Data
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3063-3071
The Dynamics of Learning: A Random Matrix Approach
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3072-3081
Reviving and Improving Recurrent Back-Propagation
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3082-3091
Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3092-3101
Optimal Rates of Sketched-regularized Algorithms for Least-Squares Regression over Hilbert Spaces
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3102-3111
Level-Set Methods for Finite-Sum Constrained Convex Optimization
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3112-3121
Detecting and Correcting for Label Shift with Black Box Predictors
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3122-3130
Generalized Robust Bayesian Committee Machine for Large-scale Gaussian Process Regression
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3131-3140
Towards Black-box Iterative Machine Teaching
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3141-3149
Delayed Impact of Fair Machine Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3150-3158
A Two-Step Computation of the Exact GAN Wasserstein Distance
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3159-3168
Open Category Detection with PAC Guarantees
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3169-3178
Fast Variance Reduction Method with Stochastic Batch Size
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3179-3188
Fast Stochastic AUC Maximization with $O(1/n)$-Convergence Rate
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3189-3197
On Matching Pursuit and Coordinate Descent
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3198-3207
PDE-Net: Learning PDEs from Data
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3208-3216
Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3217-3226
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Constraining the Dynamics of Deep Probabilistic Models
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3227-3236
Spectrally Approximating Large Graphs with Smaller Graphs
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3237-3246
The Edge Density Barrier: Computational-Statistical Tradeoffs in Combinatorial Inference
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3247-3256
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Accelerating Greedy Coordinate Descent Methods
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3257-3266
Structured Variationally Auto-encoded Optimization
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3267-3275
Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3276-3285
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End-to-end Active Object Tracking via Reinforcement Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3286-3295
Competitive Caching with Machine Learned Advice
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3296-3305
Batch Bayesian Optimization via Multi-objective Acquisition Ensemble for Automated Analog Circuit Design
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3306-3314
Celer: a Fast Solver for the Lasso with Dual Extrapolation
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3315-3324
The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3325-3334
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Gradient Descent for Sparse Rank-One Matrix Completion for Crowd-Sourced Aggregation of Sparsely Interacting Workers
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3335-3344
Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval and Matrix Completion
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3345-3354
Dimensionality-Driven Learning with Noisy Labels
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3355-3364
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Approximate message passing for amplitude based optimization
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3365-3374
Orthogonal Machine Learning: Power and Limitations
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3375-3383
Learning Adversarially Fair and Transferable Representations
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3384-3393
An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3394-3402
Iterative Amortized Inference
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3403-3412
Streaming Principal Component Analysis in Noisy Setting
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3413-3422
Fast Approximate Spectral Clustering for Dynamic Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3423-3432
Bayesian Model Selection for Change Point Detection and Clustering
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3433-3442
Optimization, fast and slow: optimally switching between local and Bayesian optimization
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3443-3452
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Bounds on the Approximation Power of Feedforward Neural Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3453-3461
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Differentiable Dynamic Programming for Structured Prediction and Attention
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3462-3471
Ranking Distributions based on Noisy Sorting
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3472-3480
Which Training Methods for GANs do actually Converge?
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3481-3490
Configurable Markov Decision Processes
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3491-3500
prDeep: Robust Phase Retrieval with a Flexible Deep Network
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3501-3510
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Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing—and Back
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3511-3520
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The Hidden Vulnerability of Distributed Learning in Byzantium
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3521-3530
Stochastic PCA with $\ell_2$ and $\ell_1$ Regularization
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3531-3539
On the Implicit Bias of Dropout
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3540-3548
One-Shot Segmentation in Clutter
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3549-3558
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Differentiable plasticity: training plastic neural networks with backpropagation
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3559-3568
Training Neural Machines with Trace-Based Supervision
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3569-3577
Differentiable Abstract Interpretation for Provably Robust Neural Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3578-3586
A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3587-3595
Data Summarization at Scale: A Two-Stage Submodular Approach
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3596-3605
The Hierarchical Adaptive Forgetting Variational Filter
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3606-3615
Decentralized Submodular Maximization: Bridging Discrete and Continuous Settings
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3616-3625
DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3626-3634
WHInter: A Working set algorithm for High-dimensional sparse second order Interaction models
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3635-3644
Dropout Training, Data-dependent Regularization, and Generalization Bounds
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3645-3653
Kernelized Synaptic Weight Matrices
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3654-3663
Rapid Adaptation with Conditionally Shifted Neurons
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3664-3673
On the Relationship between Data Efficiency and Error for Uncertainty Sampling
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3674-3682
Fitting New Speakers Based on a Short Untranscribed Sample
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3683-3691
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Smoothed Action Value Functions for Learning Gaussian Policies
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3692-3700
Nearly Optimal Robust Subspace Tracking
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3701-3709
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Stochastic Proximal Algorithms for AUC Maximization
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3710-3719
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Mitigating Bias in Adaptive Data Gathering via Differential Privacy
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3720-3729
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Optimization Landscape and Expressivity of Deep CNNs
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3730-3739
Neural Networks Should Be Wide Enough to Learn Disconnected Decision Regions
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3740-3749
SGD and Hogwild! Convergence Without the Bounded Gradients Assumption
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3750-3758
Active Testing: An Efficient and Robust Framework for Estimating Accuracy
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3759-3768
On Learning Sparsely Used Dictionaries from Incomplete Samples
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3769-3778
Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3779-3788
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State Space Gaussian Processes with Non-Gaussian Likelihood
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3789-3798
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SparseMAP: Differentiable Sparse Structured Inference
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3799-3808
A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3809-3818
Functional Gradient Boosting based on Residual Network Perception
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3819-3828
Beyond 1/2-Approximation for Submodular Maximization on Massive Data Streams
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3829-3838
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The Uncertainty Bellman Equation and Exploration
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3839-3848
Is Generator Conditioning Causally Related to GAN Performance?
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3849-3858
Learning in Reproducing Kernel Kreı̆n Spaces
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3859-3867
BOCK : Bayesian Optimization with Cylindrical Kernels
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3868-3877
Self-Imitation Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3878-3887
A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3888-3897
Transformation Autoregressive Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3898-3907
Design of Experiments for Model Discrimination Hybridising Analytical and Data-Driven Approaches
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3908-3917
Parallel WaveNet: Fast High-Fidelity Speech Synthesis
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3918-3926
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Learning Localized Spatio-Temporal Models From Streaming Data
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3927-3935
Autoregressive Quantile Networks for Generative Modeling
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3936-3945
Efficient First-Order Algorithms for Adaptive Signal Denoising
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3946-3955
Analyzing Uncertainty in Neural Machine Translation
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3956-3965
Learning Compact Neural Networks with Regularization
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3966-3975
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Tree Edit Distance Learning via Adaptive Symbol Embeddings
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3976-3985
Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3986-3995
Learning to Speed Up Structured Output Prediction
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:3996-4005
Theoretical Analysis of Image-to-Image Translation with Adversarial Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4006-4015
Max-Mahalanobis Linear Discriminant Analysis Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4016-4025
Stochastic Variance-Reduced Policy Gradient
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4026-4035
Learning Independent Causal Mechanisms
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4036-4044
Time Limits in Reinforcement Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4045-4054
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Image Transformer
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4055-4064
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PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4065-4074
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High-Quality Prediction Intervals for Deep Learning: A Distribution-Free, Ensembled Approach
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4075-4084
Adaptive Three Operator Splitting
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4085-4094
Efficient Neural Architecture Search via Parameters Sharing
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4095-4104
Bandits with Delayed, Aggregated Anonymous Feedback
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4105-4113
Constant-Time Predictive Distributions for Gaussian Processes
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4114-4123
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Local Convergence Properties of SAGA/Prox-SVRG and Acceleration
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4124-4132
Equivalence of Multicategory SVM and Simplex Cone SVM: Fast Computations and Statistical Theory
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4133-4140
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Learning Dynamics of Linear Denoising Autoencoders
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4141-4150
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4151-4160
Selecting Representative Examples for Program Synthesis
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4161-4170
Generalized Earley Parser: Bridging Symbolic Grammars and Sequence Data for Future Prediction
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4171-4179
Do Outliers Ruin Collaboration?
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4180-4187
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Gradually Updated Neural Networks for Large-Scale Image Recognition
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4188-4197
DCFNet: Deep Neural Network with Decomposed Convolutional Filters
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4198-4207
Non-convex Conditional Gradient Sliding
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4208-4217
Machine Theory of Mind
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4218-4227
Fast Parametric Learning with Activation Memorization
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4228-4237
Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games?
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4238-4246
Cut-Pursuit Algorithm for Regularizing Nonsmooth Functionals with Graph Total Variation
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4247-4256
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Modeling Others using Oneself in Multi-Agent Reinforcement Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4257-4266
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On Nesting Monte Carlo Estimators
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4267-4276
Tighter Variational Bounds are Not Necessarily Better
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4277-4285
SAFFRON: an Adaptive Algorithm for Online Control of the False Discovery Rate
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4286-4294
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4295-4304
Gradient Coding from Cyclic MDS Codes and Expander Graphs
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4305-4313
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Learning Implicit Generative Models with the Method of Learned Moments
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4314-4323
Weightless: Lossy weight encoding for deep neural network compression
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4324-4333
Learning to Reweight Examples for Robust Deep Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4334-4343
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Learning by Playing Solving Sparse Reward Tasks from Scratch
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4344-4353
Been There, Done That: Meta-Learning with Episodic Recall
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4354-4363
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A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4364-4373
Learning to Optimize Combinatorial Functions
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4374-4383
Fast Information-theoretic Bayesian Optimisation
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4384-4392
Deep One-Class Classification
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4393-4402
Augment and Reduce: Stochastic Inference for Large Categorical Distributions
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4403-4412
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Probabilistic Boolean Tensor Decomposition
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4413-4422
Black-Box Variational Inference for Stochastic Differential Equations
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4423-4432
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Spurious Local Minima are Common in Two-Layer ReLU Neural Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4433-4441
Learning Equations for Extrapolation and Control
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4442-4450
Tempered Adversarial Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4451-4459
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Representation Tradeoffs for Hyperbolic Embeddings
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4460-4469
Graph Networks as Learnable Physics Engines for Inference and Control
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4470-4479
A Classification-Based Study of Covariate Shift in GAN Distributions
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4480-4489
TAPAS: Tricks to Accelerate (encrypted) Prediction As a Service
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4490-4499
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Tight Regret Bounds for Bayesian Optimization in One Dimension
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4500-4508
Learning with Abandonment
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4509-4517
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4518-4527
Progress & Compress: A scalable framework for continual learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4528-4537
Multi-Fidelity Black-Box Optimization with Hierarchical Partitions
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4538-4547
Overcoming Catastrophic Forgetting with Hard Attention to the Task
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4548-4557
Bounding and Counting Linear Regions of Deep Neural Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4558-4566
First Order Generative Adversarial Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4567-4576
Finding Influential Training Samples for Gradient Boosted Decision Trees
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4577-4585
Solving Partial Assignment Problems using Random Clique Complexes
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4586-4595
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4596-4604
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Locally Private Hypothesis Testing
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4605-4614
Learning in Integer Latent Variable Models with Nested Automatic Differentiation
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4615-4623
Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4624-4633
An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4634-4643
A Spectral Approach to Gradient Estimation for Implicit Distributions
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4644-4653
TACO: Learning Task Decomposition via Temporal Alignment for Control
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4654-4663
CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4664-4673
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Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4674-4683
K-means clustering using random matrix sparsification
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4684-4692
Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4693-4702
An Inference-Based Policy Gradient Method for Learning Options
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4703-4712
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Accelerating Natural Gradient with Higher-Order Invariance
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4713-4722
Knowledge Transfer with Jacobian Matching
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4723-4731
Universal Planning Networks: Learning Generalizable Representations for Visuomotor Control
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4732-4741
Structured Control Nets for Deep Reinforcement Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4742-4751
Approximation Algorithms for Cascading Prediction Models
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4752-4760
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Learning Low-Dimensional Temporal Representations
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4761-4770
Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4771-4780
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Stagewise Safe Bayesian Optimization with Gaussian Processes
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4781-4789
Neural Program Synthesis from Diverse Demonstration Videos
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4790-4799
Scalable approximate Bayesian inference for particle tracking data
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4800-4809
Graphical Nonconvex Optimization via an Adaptive Convex Relaxation
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4810-4817
Convolutional Imputation of Matrix Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4818-4827
Differentiable Compositional Kernel Learning for Gaussian Processes
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4828-4837
Learning the Reward Function for a Misspecified Model
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4838-4847
$D^2$: Decentralized Training over Decentralized Data
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4848-4856
Neural Inverse Rendering for General Reflectance Photometric Stereo
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4857-4866
Black Box FDR
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4867-4876
Best Arm Identification in Linear Bandits with Linear Dimension Dependency
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4877-4886
Chi-square Generative Adversarial Network
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4887-4896
Lyapunov Functions for First-Order Methods: Tight Automated Convergence Guarantees
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4897-4906
Bayesian Uncertainty Estimation for Batch Normalized Deep Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4907-4916
Decoupling Gradient-Like Learning Rules from Representations
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4917-4925
CoVeR: Learning Covariate-Specific Vector Representations with Tensor Decompositions
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4926-4935
Importance Weighted Transfer of Samples in Reinforcement Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4936-4945
Adversarial Regression with Multiple Learners
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4946-4954
Convergent Tree Backup and Retrace with Function Approximation
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4955-4964
Learning Longer-term Dependencies in RNNs with Auxiliary Losses
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4965-4974
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Theoretical Analysis of Sparse Subspace Clustering with Missing Entries
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4975-4984
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StrassenNets: Deep Learning with a Multiplication Budget
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4985-4994
Invariance of Weight Distributions in Rectified MLPs
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:4995-5004
Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5005-5014
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The Mirage of Action-Dependent Baselines in Reinforcement Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5015-5024
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5025-5034
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5035-5044
Programmatically Interpretable Reinforcement Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5045-5054
Clustering Semi-Random Mixtures of Gaussians
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5055-5064
A Probabilistic Theory of Supervised Similarity Learning for Pointwise ROC Curve Optimization
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5065-5074
Hierarchical Multi-Label Classification Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5075-5084
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Transfer Learning via Learning to Transfer
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5085-5094
Semi-Supervised Learning on Data Streams via Temporal Label Propagation
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5095-5104
Neural Dynamic Programming for Musical Self Similarity
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5105-5113
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Thompson Sampling for Combinatorial Semi-Bandits
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5114-5122
PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5123-5132
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Analyzing the Robustness of Nearest Neighbors to Adversarial Examples
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5133-5142
Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal Demonstrations
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5143-5151
Coded Sparse Matrix Multiplication
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5152-5160
A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5161-5170
Provable Variable Selection for Streaming Features
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5171-5179
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Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5180-5189
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Adversarial Distillation of Bayesian Neural Network Posteriors
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5190-5199
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Minimax Concave Penalized Multi-Armed Bandit Model with High-Dimensional Covariates
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5200-5208
Online Convolutional Sparse Coding with Sample-Dependent Dictionary
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5209-5218
Stein Variational Message Passing for Continuous Graphical Models
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5219-5227
Approximate Leave-One-Out for Fast Parameter Tuning in High Dimensions
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5228-5237
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5238-5246
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Extracting Automata from Recurrent Neural Networks Using Queries and Counterexamples
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5247-5256
LeapsAndBounds: A Method for Approximately Optimal Algorithm Configuration
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5257-5265
Deep Predictive Coding Network for Object Recognition
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5266-5275
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Towards Fast Computation of Certified Robustness for ReLU Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5276-5285
Provable Defenses against Adversarial Examples via the Convex Outer Adversarial Polytope
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5286-5295
Local Density Estimation in High Dimensions
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5296-5305
Adaptive Exploration-Exploitation Tradeoff for Opportunistic Bandits
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5306-5314
SQL-Rank: A Listwise Approach to Collaborative Ranking
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5315-5324
Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5325-5333
Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5334-5342
Discrete-Continuous Mixtures in Probabilistic Programming: Generalized Semantics and Inference Algorithms
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5343-5352
Variance Regularized Counterfactual Risk Minimization via Variational Divergence Minimization
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5353-5362
Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5363-5372
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Bayesian Quadrature for Multiple Related Integrals
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5373-5382
Model-Level Dual Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5383-5392
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5393-5402
Orthogonality-Promoting Distance Metric Learning: Convex Relaxation and Theoretical Analysis
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5403-5412
Nonoverlap-Promoting Variable Selection
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5413-5422
Learning Semantic Representations for Unsupervised Domain Adaptation
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5423-5432
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Rates of Convergence of Spectral Methods for Graphon Estimation
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5433-5442
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Learning Registered Point Processes from Idiosyncratic Observations
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5443-5452
Representation Learning on Graphs with Jumping Knowledge Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5453-5462
Learning to Explore via Meta-Policy Gradient
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5463-5472
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Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5473-5482
Optimal Tuning for Divide-and-conquer Kernel Ridge Regression with Massive Data
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5483-5491
Continuous and Discrete-time Accelerated Stochastic Mirror Descent for Strongly Convex Functions
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5492-5501
A Semantic Loss Function for Deep Learning with Symbolic Knowledge
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5502-5511
Causal Bandits with Propagating Inference
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5512-5520
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Active Learning with Logged Data
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5521-5530
Binary Classification with Karmic, Threshold-Quasi-Concave Metrics
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5531-5540
Characterizing and Learning Equivalence Classes of Causal DAGs under Interventions
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5541-5550
Dependent Relational Gamma Process Models for Longitudinal Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5551-5560
Goodness-of-Fit Testing for Discrete Distributions via Stein Discrepancy
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5561-5570
Mean Field Multi-Agent Reinforcement Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5571-5580
Yes, but Did It Work?: Evaluating Variational Inference
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5581-5590
Hierarchical Text Generation and Planning for Strategic Dialogue
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5591-5599
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Massively Parallel Algorithms and Hardness for Single-Linkage Clustering under $\ell_p$ Distances
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5600-5609
Communication-Computation Efficient Gradient Coding
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5610-5619
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Variable Selection via Penalized Neural Network: a Drop-Out-One Loss Approach
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5620-5629
Loss Decomposition for Fast Learning in Large Output Spaces
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5640-5649
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Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5650-5659
Semi-Implicit Variational Inference
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5660-5669
Disentangled Sequential Autoencoder
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5670-5679
Probably Approximately Metric-Fair Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5680-5688
GAIN: Missing Data Imputation using Generative Adversarial Nets
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5689-5698
RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5699-5707
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5708-5717
An Efficient Semismooth Newton based Algorithm for Convex Clustering
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5718-5726
A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5727-5736
Policy Optimization as Wasserstein Gradient Flows
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5737-5746
Problem Dependent Reinforcement Learning Bounds Which Can Identify Bandit Structure in MDPs
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5747-5755
Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes Flow
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5756-5765
Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5766-5775
High Performance Zero-Memory Overhead Direct Convolutions
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5776-5785
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Safe Element Screening for Submodular Function Minimization
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5786-5795
Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5796-5805
Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5806-5814
Learning Long Term Dependencies via Fourier Recurrent Units
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5815-5823
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Tropical Geometry of Deep Neural Networks
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5824-5832
Deep Bayesian Nonparametric Tracking
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5833-5841
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Composable Planning with Attributes
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5842-5851
Noisy Natural Gradient as Variational Inference
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5852-5861
A Primal-Dual Analysis of Global Optimality in Nonconvex Low-Rank Matrix Recovery
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5862-5871
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5872-5881
Dynamic Regret of Strongly Adaptive Methods
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5882-5891
Inter and Intra Topic Structure Learning with Word Embeddings
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5892-5901
Adversarially Regularized Autoencoders
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5902-5911
MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5912-5921
Composite Marginal Likelihood Methods for Random Utility Models
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5922-5931
Lightweight Stochastic Optimization for Minimizing Finite Sums with Infinite Data
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5932-5940
A Robust Approach to Sequential Information Theoretic Planning
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5941-5949
Revealing Common Statistical Behaviors in Heterogeneous Populations
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5950-5959
Understanding Generalization and Optimization Performance of Deep CNNs
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5960-5969
Distributed Asynchronous Optimization with Unbounded Delays: How Slow Can You Go?
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5970-5979
A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5980-5989
Stochastic Variance-Reduced Cubic Regularized Newton Methods
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5990-5999
Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:6000-6008
[abs][Download PDF]
Distributed Nonparametric Regression under Communication Constraints
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:6009-6017
Message Passing Stein Variational Gradient Descent
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:6018-6027
Stochastic Variance-Reduced Hamilton Monte Carlo Methods
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:6028-6037
Rectify Heterogeneous Models with Semantic Mapping
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:5630-5639
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Hierarchical Long-term Video Prediction without Supervision
; Proceedings of the 35th International Conference on Machine Learning, PMLR 80:6038-6046
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