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Volume 70: International Conference on Machine Learning, 6-11 August 2017, International Convention Centre, Sydney, Australia
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Editors: Doina Precup, Yee Whye Teh
Uncovering Causality from Multivariate Hawkes Integrated Cumulants
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1-10
A Unified Maximum Likelihood Approach for Estimating Symmetric Properties of Discrete Distributions
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:11-21
Constrained Policy Optimization
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:22-31
The Price of Differential Privacy for Online Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:32-40
Local Bayesian Optimization of Motor Skills
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:41-50
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Connected Subgraph Detection with Mirror Descent on SDPs
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:51-59
Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:60-69
A Semismooth Newton Method for Fast, Generic Convex Programming
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:70-79
Learning Continuous Semantic Representations of Symbolic Expressions
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:80-88
Natasha: Faster Non-Convex Stochastic Optimization via Strongly Non-Convex Parameter
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:89-97
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Doubly Accelerated Methods for Faster CCA and Generalized Eigendecomposition
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:98-106
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Faster Principal Component Regression and Stable Matrix Chebyshev Approximation
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:107-115
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Follow the Compressed Leader: Faster Online Learning of Eigenvectors and Faster MMWU
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:116-125
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Near-Optimal Design of Experiments via Regret Minimization
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:126-135
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OptNet: Differentiable Optimization as a Layer in Neural Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:136-145
Input Convex Neural Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:146-155
An Efficient, Sparsity-Preserving, Online Algorithm for Low-Rank Approximation
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:156-165
Modular Multitask Reinforcement Learning with Policy Sketches
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:166-175
Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:176-185
A Simple Multi-Class Boosting Framework with Theoretical Guarantees and Empirical Proficiency
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:186-194
Deep Voice: Real-time Neural Text-to-Speech
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:195-204
Oracle Complexity of Second-Order Methods for Finite-Sum Problems
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:205-213
Wasserstein Generative Adversarial Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:214-223
Generalization and Equilibrium in Generative Adversarial Nets (GANs)
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:224-232
A Closer Look at Memorization in Deep Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:233-242
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An Alternative Softmax Operator for Reinforcement Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:243-252
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Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:253-262
Minimax Regret Bounds for Reinforcement Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:263-272
Learning the Structure of Generative Models without Labeled Data
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:273-282
Uniform Deviation Bounds for k-Means Clustering
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:283-291
Distributed and Provably Good Seedings for k-Means in Constant Rounds
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:292-300
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Learning Algorithms for Active Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:301-310
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Improving Viterbi is Hard: Better Runtimes Imply Faster Clique Algorithms
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:311-321
Differentially Private Clustering in High-Dimensional Euclidean Spaces
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:322-331
Strongly-Typed Agents are Guaranteed to Interact Safely
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:332-341
The Shattered Gradients Problem: If resnets are the answer, then what is the question?
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:342-350
Neural Taylor Approximations: Convergence and Exploration in Rectifier Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:351-360
Spectral Learning from a Single Trajectory under Finite-State Policies
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:361-370
Lost Relatives of the Gumbel Trick
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:371-379
Dynamic Word Embeddings
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:380-389
End-to-End Differentiable Adversarial Imitation Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:390-399
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Emulating the Expert: Inverse Optimization through Online Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:400-410
Unimodal Probability Distributions for Deep Ordinal Classification
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:411-419
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Globally Induced Forest: A Prepruning Compression Scheme
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:420-428
End-to-End Learning for Structured Prediction Energy Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:429-439
Learning to Discover Sparse Graphical Models
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:440-448
A Distributional Perspective on Reinforcement Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:449-458
Neural Optimizer Search with Reinforcement Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:459-468
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Learning Texture Manifolds with the Periodic Spatial GAN
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:469-477
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Differentially Private Learning of Undirected Graphical Models Using Collective Graphical Models
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:478-487
Efficient Online Bandit Multiclass Learning with $\tilde{O}(\sqrt{T})$ Regret
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:488-497
Guarantees for Greedy Maximization of Non-submodular Functions with Applications
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:498-507
Robust Submodular Maximization: A Non-Uniform Partitioning Approach
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:508-516
Unsupervised Learning by Predicting Noise
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:517-526
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Adaptive Neural Networks for Efficient Inference
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:527-536
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Compressed Sensing using Generative Models
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:537-546
Programming with a Differentiable Forth Interpreter
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:547-556
Practical Gauss-Newton Optimisation for Deep Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:557-565
Lazifying Conditional Gradient Algorithms
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:566-575
Clustering High Dimensional Dynamic Data Streams
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:576-585
On the Sampling Problem for Kernel Quadrature
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:586-595
Reduced Space and Faster Convergence in Imperfect-Information Games via Pruning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:596-604
Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:605-614
Deep Tensor Convolution on Multicores
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:615-624
Multi-objective Bandits: Optimizing the Generalized Gini Index
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:625-634
Priv’IT: Private and Sample Efficient Identity Testing
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:635-644
Second-Order Kernel Online Convex Optimization with Adaptive Sketching
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:645-653
“Convex Until Proven Guilty”: Dimension-Free Acceleration of Gradient Descent on Non-Convex Functions
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:654-663
Sliced Wasserstein Kernel for Persistence Diagrams
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:664-673
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Multiple Clustering Views from Multiple Uncertain Experts
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:674-683
Uncertainty Assessment and False Discovery Rate Control in High-Dimensional Granger Causal Inference
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:684-693
Active Heteroscedastic Regression
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:694-702
Combining Model-Based and Model-Free Updates for Trajectory-Centric Reinforcement Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:703-711
Robust Structured Estimation with Single-Index Models
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:712-721
Adaptive Multiple-Arm Identification
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:722-730
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Dueling Bandits with Weak Regret
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:731-739
Strong NP-Hardness for Sparse Optimization with Concave Penalty Functions
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:740-747
Learning to Learn without Gradient Descent by Gradient Descent
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:748-756
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Identification and Model Testing in Linear Structural Equation Models using Auxiliary Variables
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:757-766
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Toward Efficient and Accurate Covariance Matrix Estimation on Compressed Data
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:767-776
Online Partial Least Square Optimization: Dropping Convexity for Better Efficiency and Scalability
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:777-786
Learning to Aggregate Ordinal Labels by Maximizing Separating Width
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:787-796
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Nearly Optimal Robust Matrix Completion
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:797-805
Algorithms for $\ell_p$ Low-Rank Approximation
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:806-814
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MEC: Memory-efficient Convolution for Deep Neural Network
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:815-824
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On Relaxing Determinism in Arithmetic Circuits
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:825-833
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Improving Stochastic Policy Gradients in Continuous Control with Deep Reinforcement Learning using the Beta Distribution
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:834-843
On Kernelized Multi-armed Bandits
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:844-853
Parseval Networks: Improving Robustness to Adversarial Examples
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:854-863
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Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:864-873
AdaNet: Adaptive Structural Learning of Artificial Neural Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:874-883
Random Feature Expansions for Deep Gaussian Processes
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:884-893
Soft-DTW: a Differentiable Loss Function for Time-Series
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:894-903
Understanding Synthetic Gradients and Decoupled Neural Interfaces
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:904-912
Stochastic Generative Hashing
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:913-922
Logarithmic Time One-Against-Some
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:923-932
Language Modeling with Gated Convolutional Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:933-941
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An Infinite Hidden Markov Model With Similarity-Biased Transitions
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:942-950
Distributed Batch Gaussian Process Optimization
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:951-960
Consistency Analysis for Binary Classification Revisited
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:961-969
iSurvive: An Interpretable, Event-time Prediction Model for mHealth
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:970-979
Image-to-Markup Generation with Coarse-to-Fine Attention
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:980-989
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RobustFill: Neural Program Learning under Noisy I/O
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:990-998
Being Robust (in High Dimensions) Can Be Practical
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:999-1008
Probabilistic Path Hamiltonian Monte Carlo
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1009-1018
Sharp Minima Can Generalize For Deep Nets
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1019-1028
A Divergence Bound for Hybrids of MCMC and Variational Inference and an Application to Langevin Dynamics and SGVI
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1029-1038
Dance Dance Convolution
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1039-1048
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Stochastic Variance Reduction Methods for Policy Evaluation
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1049-1058
Rule-Enhanced Penalized Regression by Column Generation using Rectangular Maximum Agreement
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1059-1067
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Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1068-1077
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Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1078-1087
Maximum Selection and Ranking under Noisy Comparisons
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1088-1096
Fake News Mitigation via Point Process Based Intervention
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1097-1106
Regret Minimization in Behaviorally-Constrained Zero-Sum Games
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1107-1116
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Coresets for Vector Summarization with Applications to Network Graphs
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1117-1125
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Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1126-1135
Input Switched Affine Networks: An RNN Architecture Designed for Interpretability
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1136-1145
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Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1146-1155
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Counterfactual Data-Fusion for Online Reinforcement Learners
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1156-1164
Forward and Reverse Gradient-Based Hyperparameter Optimization
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1165-1173
Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1174-1182
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Deep Bayesian Active Learning with Image Data
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1183-1192
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Local-to-Global Bayesian Network Structure Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1193-1202
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Communication-efficient Algorithms for Distributed Stochastic Principal Component Analysis
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1203-1212
Differentiable Programs with Neural Libraries
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1213-1222
Zonotope Hit-and-run for Efficient Sampling from Projection DPPs
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1223-1232
No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1233-1242
Convolutional Sequence to Sequence Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1243-1252
On Context-Dependent Clustering of Bandits
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1253-1262
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Neural Message Passing for Quantum Chemistry
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1263-1272
Convex Phase Retrieval without Lifting via PhaseMax
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1273-1281
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Preferential Bayesian Optimization
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1282-1291
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Measuring Sample Quality with Kernels
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1292-1301
Efficient softmax approximation for GPUs
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1302-1310
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Automated Curriculum Learning for Neural Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1311-1320
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On Calibration of Modern Neural Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1321-1330
ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1331-1340
Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1341-1351
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Reinforcement Learning with Deep Energy-Based Policies
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1352-1361
DeepBach: a Steerable Model for Bach Chorales Generation
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1362-1371
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Consistent On-Line Off-Policy Evaluation
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1372-1383
Faster Greedy MAP Inference for Determinantal Point Processes
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1384-1393
Data-Efficient Policy Evaluation Through Behavior Policy Search
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1394-1403
Joint Dimensionality Reduction and Metric Learning: A Geometric Take
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1404-1413
Deep IV: A Flexible Approach for Counterfactual Prediction
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1414-1423
Robust Guarantees of Stochastic Greedy Algorithms
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1424-1432
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Efficient Regret Minimization in Non-Convex Games
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1433-1441
Kernelized Support Tensor Machines
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1442-1451
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The Sample Complexity of Online One-Class Collaborative Filtering
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1452-1460
Warped Convolutions: Efficient Invariance to Spatial Transformations
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1461-1469
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Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1470-1479
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DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1480-1490
SPLICE: Fully Tractable Hierarchical Extension of ICA with Pooling
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1491-1500
Multilevel Clustering via Wasserstein Means
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1501-1509
Learning Deep Latent Gaussian Models with Markov Chain Monte Carlo
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1510-1519
Minimizing Trust Leaks for Robust Sybil Detection
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1520-1528
Prox-PDA: The Proximal Primal-Dual Algorithm for Fast Distributed Nonconvex Optimization and Learning Over Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1529-1538
Analysis and Optimization of Graph Decompositions by Lifted Multicuts
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1539-1548
Dissipativity Theory for Nesterov’s Accelerated Method
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1549-1557
Learning Discrete Representations via Information Maximizing Self-Augmented Training
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1558-1567
State-Frequency Memory Recurrent Neural Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1568-1577
[abs][Download PDF]
Deep Generative Models for Relational Data with Side Information
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1578-1586
Toward Controlled Generation of Text
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1587-1596
Tensor Decomposition with Smoothness
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1597-1606
Variational Inference for Sparse and Undirected Models
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1607-1616
Fairness in Reinforcement Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1617-1626
Decoupled Neural Interfaces using Synthetic Gradients
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1627-1635
Scalable Generative Models for Multi-label Learning with Missing Labels
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1636-1644
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Sequence Tutor: Conservative Fine-Tuning of Sequence Generation Models with KL-control
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1645-1654
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Bayesian Optimization with Tree-structured Dependencies
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1655-1664
Simultaneous Learning of Trees and Representations for Extreme Classification and Density Estimation
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1665-1674
From Patches to Images: A Nonparametric Generative Model
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1675-1683
Density Level Set Estimation on Manifolds with DBSCAN
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1684-1693
Uniform Convergence Rates for Kernel Density Estimation
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1694-1703
Contextual Decision Processes with low Bellman rank are PAC-Learnable
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1704-1713
Efficient Nonmyopic Active Search
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1714-1723
How to Escape Saddle Points Efficiently
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1724-1732
Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1733-1741
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An Adaptive Test of Independence with Analytic Kernel Embeddings
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1742-1751
StingyCD: Safely Avoiding Wasteful Updates in Coordinate Descent
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1752-1760
Differentially Private Chi-squared Test by Unit Circle Mechanism
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1761-1770
Video Pixel Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1771-1779
Adaptive Feature Selection: Computationally Efficient Online Sparse Linear Regression under RIP
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1780-1788
Recursive Partitioning for Personalization using Observational Data
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1789-1798
Multi-fidelity Bayesian Optimisation with Continuous Approximations
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1799-1808
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1809-1818
Learning in POMDPs with Monte Carlo Tree Search
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1819-1827
Meritocratic Fairness for Cross-Population Selection
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1828-1836
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On Approximation Guarantees for Greedy Low Rank Optimization
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1837-1846
Graph-based Isometry Invariant Representation Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1847-1856
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1857-1865
SplitNet: Learning to Semantically Split Deep Networks for Parameter Reduction and Model Parallelization
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1866-1874
Cost-Optimal Learning of Causal Graphs
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1875-1884
Understanding Black-box Predictions via Influence Functions
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1885-1894
Sub-sampled Cubic Regularization for Non-convex Optimization
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1895-1904
PixelCNN Models with Auxiliary Variables for Natural Image Modeling
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1905-1914
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Active Learning for Cost-Sensitive Classification
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1915-1924
Evaluating Bayesian Models with Posterior Dispersion Indices
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1925-1934
Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1935-1944
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Grammar Variational Autoencoder
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1945-1954
Co-clustering through Optimal Transport
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1955-1964
Conditional Accelerated Lazy Stochastic Gradient Descent
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1965-1974
Consistent k-Clustering
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1975-1984
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Deep Spectral Clustering Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1985-1994
Coordinated Multi-Agent Imitation Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:1995-2003
Bayesian inference on random simple graphs with power law degree distributions
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2004-2013
Confident Multiple Choice Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2014-2023
Deriving Neural Architectures from Sequence and Graph Kernels
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2024-2033
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Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2034-2042
Learning to Align the Source Code to the Compiled Object Code
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2043-2051
Dropout Inference in Bayesian Neural Networks with Alpha-divergences
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2052-2061
Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2062-2070
Provably Optimal Algorithms for Generalized Linear Contextual Bandits
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2071-2080
Fast k-Nearest Neighbour Search via Prioritized DCI
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2081-2090
Forest-type Regression with General Losses and Robust Forest
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2091-2100
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Stochastic Modified Equations and Adaptive Stochastic Gradient Algorithms
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2101-2110
Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2111-2119
Exact MAP Inference by Avoiding Fractional Vertices
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2120-2129
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Leveraging Union of Subspace Structure to Improve Constrained Clustering
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2130-2139
Zero-Inflated Exponential Family Embeddings
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2140-2148
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Iterative Machine Teaching
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2149-2158
Algorithmic Stability and Hypothesis Complexity
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2159-2167
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Analogical Inference for Multi-relational Embeddings
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2168-2178
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Dual Iterative Hard Thresholding: From Non-convex Sparse Minimization to Non-smooth Concave Maximization
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2179-2187
Gram-CTC: Automatic Unit Selection and Target Decomposition for Sequence Labelling
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2188-2197
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Learning Infinite Layer Networks Without the Kernel Trick
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2198-2207
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Deep Transfer Learning with Joint Adaptation Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2208-2217
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Multiplicative Normalizing Flows for Variational Bayesian Neural Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2218-2227
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How Close Are the Eigenvectors of the Sample and Actual Covariance Matrices?
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2228-2237
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Learning Deep Architectures via Generalized Whitened Neural Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2238-2246
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Learning Gradient Descent: Better Generalization and Longer Horizons
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2247-2255
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Spherical Structured Feature Maps for Kernel Approximation
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2256-2264
Stochastic Gradient MCMC Methods for Hidden Markov Models
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2265-2274
Self-Paced Co-training
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2275-2284
Interactive Learning from Policy-Dependent Human Feedback
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2285-2294
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A Laplacian Framework for Option Discovery in Reinforcement Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2295-2304
Frame-based Data Factorizations
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2305-2313
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Global optimization of Lipschitz functions
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2314-2323
On Mixed Memberships and Symmetric Nonnegative Matrix Factorizations
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2324-2333
Bayesian Models of Data Streams with Hierarchical Power Priors
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2334-2343
Just Sort It! A Simple and Effective Approach to Active Preference Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2344-2353
ChoiceRank: Identifying Preferences from Node Traffic in Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2354-2362
Deciding How to Decide: Dynamic Routing in Artificial Neural Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2363-2372
Risk Bounds for Transferring Representations With and Without Fine-Tuning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2373-2381
Nonnegative Matrix Factorization for Time Series Recovery From a Few Temporal Aggregates
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2382-2390
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Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2391-2400
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2401-2409
Discovering Discrete Latent Topics with Neural Variational Inference
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2410-2419
Variational Boosting: Iteratively Refining Posterior Approximations
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2420-2429
Device Placement Optimization with Reinforcement Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2430-2439
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Tight Bounds for Approximate Carathéodory and Beyond
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2440-2448
Deletion-Robust Submodular Maximization: Data Summarization with “the Right to be Forgotten”
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2449-2458
Prediction and Control with Temporal Segment Models
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2459-2468
Improving Gibbs Sampler Scan Quality with DoGS
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2469-2477
Differentially Private Submodular Maximization: Data Summarization in Disguise
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2478-2487
Active Learning for Top-$K$ Rank Aggregation from Noisy Comparisons
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2488-2497
Variational Dropout Sparsifies Deep Neural Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2498-2507
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Regularising Non-linear Models Using Feature Side-information
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2508-2517
Coupling Distributed and Symbolic Execution for Natural Language Queries
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2518-2526
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McGan: Mean and Covariance Feature Matching GAN
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2527-2535
Sequence to Better Sequence: Continuous Revision of Combinatorial Structures
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2536-2544
Variants of RMSProp and Adagrad with Logarithmic Regret Bounds
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2545-2553
Meta Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2554-2563
Understanding the Representation and Computation of Multilayer Perceptrons: A Case Study in Speech Recognition
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2564-2573
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Adaptive Sampling Probabilities for Non-Smooth Optimization
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2574-2583
Delta Networks for Optimized Recurrent Network Computation
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2584-2593
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Post-Inference Prior Swapping
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2594-2602
The Loss Surface of Deep and Wide Neural Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2603-2612
SARAH: A Novel Method for Machine Learning Problems Using Stochastic Recursive Gradient
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2613-2621
Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2622-2631
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Multichannel End-to-end Speech Recognition
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2632-2641
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Conditional Image Synthesis with Auxiliary Classifier GANs
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2642-2651
Nyström Method with Kernel K-means++ Samples as Landmarks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2652-2660
Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2661-2670
The Statistical Recurrent Unit
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2671-2680
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Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2681-2690
Algebraic Variety Models for High-Rank Matrix Completion
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2691-2700
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Why is Posterior Sampling Better than Optimism for Reinforcement Learning?
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2701-2710
Bidirectional Learning for Time-series Models with Hidden Units
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2711-2720
Count-Based Exploration with Neural Density Models
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2721-2730
Dictionary Learning Based on Sparse Distribution Tomography
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2731-2740
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Stochastic Bouncy Particle Sampler
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2741-2750
A Birth-Death Process for Feature Allocation
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2751-2759
Prediction under Uncertainty in Sparse Spectrum Gaussian Processes with Applications to Filtering and Control
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2760-2768
Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2769-2777
Curiosity-driven Exploration by Self-supervised Prediction
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2778-2787
Asynchronous Distributed Variational Gaussian Process for Regression
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2788-2797
Geometry of Neural Network Loss Surfaces via Random Matrix Theory
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2798-2806
Multi-task Learning with Labeled and Unlabeled Tasks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2807-2816
Robust Adversarial Reinforcement Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2817-2826
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Neural Episodic Control
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2827-2836
Online and Linear-Time Attention by Enforcing Monotonic Alignments
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2837-2846
On the Expressive Power of Deep Neural Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2847-2854
Estimating the unseen from multiple populations
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2855-2863
Coherence Pursuit: Fast, Simple, and Robust Subspace Recovery
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2864-2873
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Innovation Pursuit: A New Approach to the Subspace Clustering Problem
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2874-2882
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High Dimensional Bayesian Optimization with Elastic Gaussian Process
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2883-2891
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Equivariance Through Parameter-Sharing
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2892-2901
Large-Scale Evolution of Image Classifiers
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2902-2911
Parallel Multiscale Autoregressive Density Estimation
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2912-2921
Real-Time Adaptive Image Compression
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2922-2930
Active Learning for Accurate Estimation of Linear Models
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2931-2939
Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2940-2949
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Pain-Free Random Differential Privacy with Sensitivity Sampling
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2950-2959
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Enumerating Distinct Decision Trees
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2960-2968
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Bayesian Boolean Matrix Factorisation
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2969-2978
Depth-Width Tradeoffs in Approximating Natural Functions with Neural Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2979-2987
Asymmetric Tri-training for Unsupervised Domain Adaptation
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2988-2997
Semi-Supervised Classification Based on Classification from Positive and Unlabeled Data
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:2998-3006
Analytical Guarantees on Numerical Precision of Deep Neural Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3007-3016
Hierarchy Through Composition with Multitask LMDPs
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3017-3026
Optimal Algorithms for Smooth and Strongly Convex Distributed Optimization in Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3027-3036
Adapting Kernel Representations Online Using Submodular Maximization
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3037-3046
Developing Bug-Free Machine Learning Systems With Formal Mathematics
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3047-3056
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Identifying Best Interventions through Online Importance Sampling
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3057-3066
Failures of Gradient-Based Deep Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3067-3075
Estimating individual treatment effect: generalization bounds and algorithms
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3076-3085
Online Learning with Local Permutations and Delayed Feedback
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3086-3094
Orthogonalized ALS: A Theoretically Principled Tensor Decomposition Algorithm for Practical Use
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3095-3104
Differentially Private Ordinary Least Squares
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3105-3114
On the Iteration Complexity of Support Recovery via Hard Thresholding Pursuit
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3115-3124
GSOS: Gauss-Seidel Operator Splitting Algorithm for Multi-Term Nonsmooth Convex Composite Optimization
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3125-3134
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World of Bits: An Open-Domain Platform for Web-Based Agents
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3135-3144
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Learning Important Features Through Propagating Activation Differences
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3145-3153
Optimal Densification for Fast and Accurate Minwise Hashing
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3154-3163
Bottleneck Conditional Density Estimation
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3164-3172
Attentive Recurrent Comparators
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3173-3181
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Gradient Boosted Decision Trees for High Dimensional Sparse Output
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3182-3190
The Predictron: End-To-End Learning and Planning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3191-3199
Fractional Langevin Monte Carlo: Exploring Levy Driven Stochastic Differential Equations for Markov Chain Monte Carlo
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3200-3209
Nonparanormal Information Estimation
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3210-3219
High-Dimensional Structured Quantile Regression
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3220-3229
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Robust Budget Allocation via Continuous Submodular Functions
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3230-3240
Probabilistic Submodular Maximization in Sub-Linear Time
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3241-3250
Approximate Steepest Coordinate Descent
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3251-3259
Ordinal Graphical Models: A Tale of Two Approaches
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3260-3269
Tensor Balancing on Statistical Manifold
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3270-3279
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Safety-Aware Algorithms for Adversarial Contextual Bandit
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3280-3288
Relative Fisher Information and Natural Gradient for Learning Large Modular Models
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3289-3298
meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3299-3308
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Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3309-3318
Axiomatic Attribution for Deep Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3319-3328
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Distributed Mean Estimation with Limited Communication
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3329-3337
Selective Inference for Sparse High-Order Interaction Models
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3338-3347
Coherent Probabilistic Forecasts for Hierarchical Time Series
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3348-3357
Partitioned Tensor Factorizations for Learning Mixed Membership Models
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3358-3367
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Gradient Coding: Avoiding Stragglers in Distributed Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3368-3376
Gradient Projection Iterative Sketch for Large-Scale Constrained Least-Squares
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3377-3386
Neural Networks and Rational Functions
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3387-3393
Stochastic DCA for the Large-sum of Non-convex Functions Problem and its Application to Group Variable Selection in Classification
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3394-3403
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An Analytical Formula of Population Gradient for two-layered ReLU network and its Applications in Convergence and Critical Point Analysis
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3404-3413
Evaluating the Variance of Likelihood-Ratio Gradient Estimators
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3414-3423
Accelerating Eulerian Fluid Simulation With Convolutional Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3424-3433
Boosted Fitted Q-Iteration
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3434-3443
Diameter-Based Active Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3444-3452
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Magnetic Hamiltonian Monte Carlo
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3453-3461
Know-Evolve: Deep Temporal Reasoning for Dynamic Knowledge Graphs
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3462-3471
Hyperplane Clustering via Dual Principal Component Pursuit
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3472-3481
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Breaking Locality Accelerates Block Gauss-Seidel
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3482-3491
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Multilabel Classification with Group Testing and Codes
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3492-3501
Learning Stable Stochastic Nonlinear Dynamical Systems
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3502-3510
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Learning Determinantal Point Processes with Moments and Cycles
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3511-3520
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Automatic Discovery of the Statistical Types of Variables in a Dataset
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3521-3529
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Model-Independent Online Learning for Influence Maximization
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3530-3539
FeUdal Networks for Hierarchical Reinforcement Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3540-3549
Scalable Multi-Class Gaussian Process Classification using Expectation Propagation
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3550-3559
Learning to Generate Long-term Future via Hierarchical Prediction
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3560-3569
On orthogonality and learning recurrent networks with long term dependencies
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3570-3578
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Fast Bayesian Intensity Estimation for the Permanental Process
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3579-3588
Optimal and Adaptive Off-policy Evaluation in Contextual Bandits
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3589-3597
Capacity Releasing Diffusion for Speed and Locality
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3598-3607
Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3608-3616
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Robust Gaussian Graphical Model Estimation with Arbitrary Corruption
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3617-3626
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Max-value Entropy Search for Efficient Bayesian Optimization
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3627-3635
Efficient Distributed Learning with Sparsity
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3636-3645
Robust Probabilistic Modeling with Bayesian Data Reweighting
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3646-3655
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3656-3664
Tensor Decomposition via Simultaneous Power Iteration
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3665-3673
Sequence Modeling via Segmentations
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3674-3683
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Variational Policy for Guiding Point Processes
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3684-3693
Exploiting Strong Convexity from Data with Primal-Dual First-Order Algorithms
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3694-3702
Beyond Filters: Compact Feature Map for Portable Deep Model
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3703-3711
A Unified Variance Reduction-Based Framework for Nonconvex Low-Rank Matrix Recovery
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3712-3721
Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3722-3731
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Latent Intention Dialogue Models
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3732-3741
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Unifying Task Specification in Reinforcement Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3742-3750
Learned Optimizers that Scale and Generalize
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3751-3760
Exact Inference for Integer Latent-Variable Models
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3761-3770
Tensor Belief Propagation
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3771-3779
A Unified View of Multi-Label Performance Measures
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3780-3788
Dual Supervised Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3789-3798
Learning Latent Space Models with Angular Constraints
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3799-3810
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Uncorrelation and Evenness: a New Diversity-Promoting Regularizer
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3811-3820
Stochastic Convex Optimization: Faster Local Growth Implies Faster Global Convergence
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3821-3830
Learning Hawkes Processes from Short Doubly-Censored Event Sequences
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3831-3840
Adaptive Consensus ADMM for Distributed Optimization
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3841-3850
High-dimensional Non-Gaussian Single Index Models via Thresholded Score Function Estimation
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3851-3860
Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3861-3870
On The Projection Operator to A Three-view Cardinality Constrained Set
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3871-3880
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3881-3890
Tensor-Train Recurrent Neural Networks for Video Classification
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3891-3900
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A Richer Theory of Convex Constrained Optimization with Reduced Projections and Improved Rates
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3901-3910
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Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3911-3920
Scalable Bayesian Rule Lists
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3921-3930
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Approximate Newton Methods and Their Local Convergence
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3931-3939
A Simulated Annealing Based Inexact Oracle for Wasserstein Loss Minimization
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3940-3948
Latent Feature Lasso
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3949-3957
Combined Group and Exclusive Sparsity for Deep Neural Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3958-3966
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Latent LSTM Allocation: Joint Clustering and Non-Linear Dynamic Modeling of Sequence Data
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3967-3976
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Canopy Fast Sampling with Cover Trees
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3977-3986
Continual Learning Through Synaptic Intelligence
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3987-3995
Stochastic Gradient Monomial Gamma Sampler
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3996-4005
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Adversarial Feature Matching for Text Generation
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:4006-4015
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Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:4016-4025
Re-revisiting Learning on Hypergraphs: Confidence Interval and Subgradient Method
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:4026-4034
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ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:4035-4043
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Convexified Convolutional Neural Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:4044-4053
Projection-free Distributed Online Learning in Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:4054-4062
Multi-Class Optimal Margin Distribution Machine
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:4063-4071
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Leveraging Node Attributes for Incomplete Relational Data
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:4072-4081
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Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:4082-4090
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Learning Hierarchical Features from Deep Generative Models
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:4091-4099
Learning Sleep Stages from Radio Signals: A Conditional Adversarial Architecture
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:4100-4109
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Follow the Moving Leader in Deep Learning
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:4110-4119
Asynchronous Stochastic Gradient Descent with Delay Compensation
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:4120-4129
Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:4130-4139
Recovery Guarantees for One-hidden-layer Neural Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:4140-4149
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Stochastic Adaptive Quasi-Newton Methods for Minimizing Expected Values
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:4150-4159
Identify the Nash Equilibrium in Static Games with Random Payoffs
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:4160-4169
When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, $\ell_2$-consistency and Neuroscience Applications
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:4170-4179
High-Dimensional Variance-Reduced Stochastic Gradient Expectation-Maximization Algorithm
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:4180-4188
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Recurrent Highway Networks
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:4189-4198
Online Learning to Rank in Stochastic Click Models
; Proceedings of the 34th International Conference on Machine Learning, PMLR 70:4199-4208
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