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Volume 48: International Conference on Machine Learning, 20-22 June 2016, New York, New York, USA
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Editors: Maria Florina Balcan, Kilian Q. Weinberger
No Oops, You Won’t Do It Again: Mechanisms for Self-correction in Crowdsourcing
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1-10
Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:11-20
Uprooting and Rerooting Graphical Models
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:21-29
A Deep Learning Approach to Unsupervised Ensemble Learning
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:30-39
Revisiting Semi-Supervised Learning with Graph Embeddings
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:40-48
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Guided Cost Learning: Deep Inverse Optimal Control via Policy Optimization
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:49-58
Diversity-Promoting Bayesian Learning of Latent Variable Models
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:59-68
Additive Approximations in High Dimensional Nonparametric Regression via the SALSA
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:69-78
Hawkes Processes with Stochastic Excitations
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:79-88
Data-driven Rank Breaking for Efficient Rank Aggregation
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:89-98
Dropout distillation
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:99-107
Metadata-conscious anonymous messaging
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:108-116
The Teaching Dimension of Linear Learners
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:117-126
Truthful Univariate Estimators
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:127-135
Why Regularized Auto-Encoders learn Sparse Representation?
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:136-144
k-variates++: more pluses in the k-means++
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:145-154
Multi-Player Bandits – a Musical Chairs Approach
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:155-163
The Information Sieve
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:164-172
Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:173-182
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On the Consistency of Feature Selection With Lasso for Non-linear Targets
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:183-191
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Minimum Regret Search for Single- and Multi-Task Optimization
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:192-200
CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:201-210
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The Variational Nystrom method for large-scale spectral problems
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:211-220
Multi-Bias Non-linear Activation in Deep Neural Networks
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:221-229
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Asymmetric Multi-task Learning Based on Task Relatedness and Loss
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:230-238
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Accurate Robust and Efficient Error Estimation for Decision Trees
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:239-247
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Fast Stochastic Algorithms for SVD and PCA: Convergence Properties and Convexity
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:248-256
Convergence of Stochastic Gradient Descent for PCA
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:257-265
Dealbreaker: A Nonlinear Latent Variable Model for Educational Data
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:266-275
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A Kernelized Stein Discrepancy for Goodness-of-fit Tests
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:276-284
Variable Elimination in the Fourier Domain
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:285-294
Low-Rank Matrix Approximation with Stability
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:295-303
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Linking losses for density ratio and class-probability estimation
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:304-313
Stochastic Variance Reduction for Nonconvex Optimization
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:314-323
Hierarchical Variational Models
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:324-333
Hierarchical Span-Based Conditional Random Fields for Labeling and Segmenting Events in Wearable Sensor Data Streams
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:334-343
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Binary embeddings with structured hashed projections
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:344-353
A Variational Analysis of Stochastic Gradient Algorithms
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:354-363
Adaptive Sampling for SGD by Exploiting Side Information
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:364-372
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Learning from Multiway Data: Simple and Efficient Tensor Regression
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:373-381
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A Distributed Variational Inference Framework for Unifying Parallel Sparse Gaussian Process Regression Models
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:382-391
Online Stochastic Linear Optimization under One-bit Feedback
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:392-401
Adaptive Algorithms for Online Convex Optimization with Long-term Constraints
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:402-411
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Actively Learning Hemimetrics with Applications to Eliciting User Preferences
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:412-420
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Learning Simple Algorithms from Examples
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:421-429
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Learning Physical Intuition of Block Towers by Example
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:430-438
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Structure Learning of Partitioned Markov Networks
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:439-448
Tracking Slowly Moving Clairvoyant: Optimal Dynamic Regret of Online Learning with True and Noisy Gradient
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:449-457
Beyond CCA: Moment Matching for Multi-View Models
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:458-467
Fast methods for estimating the Numerical rank of large matrices
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:468-477
Unsupervised Deep Embedding for Clustering Analysis
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:478-487
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Efficient Private Empirical Risk Minimization for High-dimensional Learning
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:488-497
Parameter Estimation for Generalized Thurstone Choice Models
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:498-506
Large-Margin Softmax Loss for Convolutional Neural Networks
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:507-516
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A Random Matrix Approach to Echo-State Neural Networks
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:517-525
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Supervised and Semi-Supervised Text Categorization using LSTM for Region Embeddings
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:526-534
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Optimality of Belief Propagation for Crowdsourced Classification
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:535-544
Stability of Controllers for Gaussian Process Forward Models
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:545-554
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Learning privately from multiparty data
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:555-563
Network Morphism
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:564-572
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A Kronecker-factored approximate Fisher matrix for convolution layers
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:573-582
Experimental Design on a Budget for Sparse Linear Models and Applications
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:583-592
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Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:593-602
Exact Exponent in Optimal Rates for Crowdsourcing
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:603-611
Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:612-621
Online Low-Rank Subspace Clustering by Basis Dictionary Pursuit
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:622-631
A Self-Correcting Variable-Metric Algorithm for Stochastic Optimization
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:632-641
Stochastic Quasi-Newton Langevin Monte Carlo
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:642-651
Doubly Robust Off-policy Value Evaluation for Reinforcement Learning
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:652-661
Fast Rate Analysis of Some Stochastic Optimization Algorithms
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:662-670
Fast k-Nearest Neighbour Search via Dynamic Continuous Indexing
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:671-679
Smooth Imitation Learning for Online Sequence Prediction
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:680-688
Community Recovery in Graphs with Locality
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:689-698
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Variance Reduction for Faster Non-Convex Optimization
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:699-707
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Loss factorization, weakly supervised learning and label noise robustness
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:708-717
Analysis of Deep Neural Networks with Extended Data Jacobian Matrix
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:718-726
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Doubly Decomposing Nonparametric Tensor Regression
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:727-736
Hyperparameter optimization with approximate gradient
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:737-746
SDCA without Duality, Regularization, and Individual Convexity
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:747-754
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Heteroscedastic Sequences: Beyond Gaussianity
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:755-763
A Neural Autoregressive Approach to Collaborative Filtering
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:764-773
On the Quality of the Initial Basin in Overspecified Neural Networks
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:774-782
Primal-Dual Rates and Certificates
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:783-792
Minimizing the Maximal Loss: How and Why
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:793-801
The Information-Theoretic Requirements of Subspace Clustering with Missing Data
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:802-810
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Online Learning with Feedback Graphs Without the Graphs
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:811-819
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PAC learning of Probabilistic Automaton based on the Method of Moments
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:820-829
Estimating Structured Vector Autoregressive Models
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:830-839
Mixing Rates for the Alternating Gibbs Sampler over Restricted Boltzmann Machines and Friends
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:840-849
Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:850-858
A New PAC-Bayesian Perspective on Domain Adaptation
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:859-868
Correlation Clustering and Biclustering with Locally Bounded Errors
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:869-877
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PAC Lower Bounds and Efficient Algorithms for The Max K-Armed Bandit Problem
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:878-887
A Comparative Analysis and Study of Multiview CNN Models for Joint Object Categorization and Pose Estimation
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:888-897
BASC: Applying Bayesian Optimization to the Search for Global Minima on Potential Energy Surfaces
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:898-907
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On the Iteration Complexity of Oblivious First-Order Optimization Algorithms
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:908-916
Stochastic Variance Reduced Optimization for Nonconvex Sparse Learning
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:917-925
Analysis of Variational Bayesian Factorizations for Sparse and Low-Rank Estimation
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:926-935
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Fast k-means with accurate bounds
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:936-944
Boolean Matrix Factorization and Noisy Completion via Message Passing
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:945-954
Convolutional Rectifier Networks as Generalized Tensor Decompositions
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:955-963
Low-rank Solutions of Linear Matrix Equations via Procrustes Flow
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:964-973
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Anytime Exploration for Multi-armed Bandits using Confidence Information
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:974-982
Structured Prediction Energy Networks
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:983-992
L1-regularized Neural Networks are Improperly Learnable in Polynomial Time
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:993-1001
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Compressive Spectral Clustering
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1002-1011
Low-rank tensor completion: a Riemannian manifold preconditioning approach
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1012-1021
Provable Non-convex Phase Retrieval with Outliers: Median TruncatedWirtinger Flow
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1022-1031
Estimating Maximum Expected Value through Gaussian Approximation
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1032-1040
Representational Similarity Learning with Application to Brain Networks
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1041-1049
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1050-1059
Generative Adversarial Text to Image Synthesis
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1060-1069
Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1070-1079
Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1080-1089
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Sparse Parameter Recovery from Aggregated Data
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1090-1099
Deep Structured Energy Based Models for Anomaly Detection
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1100-1109
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Even Faster Accelerated Coordinate Descent Using Non-Uniform Sampling
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1110-1119
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Unitary Evolution Recurrent Neural Networks
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1120-1128
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Markov Latent Feature Models
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1129-1137
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The Knowledge Gradient for Sequential Decision Making with Stochastic Binary Feedbacks
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1138-1147
A Simple and Provable Algorithm for Sparse Diagonal CCA
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1148-1157
Quadratic Optimization with Orthogonality Constraints: Explicit Lojasiewicz Exponent and Linear Convergence of Line-Search Methods
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1158-1167
Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1168-1176
Learning to Generate with Memory
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1177-1186
Learning End-to-end Video Classification with Rank-Pooling
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1187-1196
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Learning to Filter with Predictive State Inference Machines
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1197-1205
A Subspace Learning Approach for High Dimensional Matrix Decomposition with Efficient Column/Row Sampling
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1206-1214
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DCM Bandits: Learning to Rank with Multiple Clicks
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1215-1224
Train faster, generalize better: Stability of stochastic gradient descent
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1225-1234
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Copeland Dueling Bandit Problem: Regret Lower Bound, Optimal Algorithm, and Computationally Efficient Algorithm
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1235-1244
Contextual Combinatorial Cascading Bandits
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1245-1253
Conservative Bandits
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1254-1262
Variance-Reduced and Projection-Free Stochastic Optimization
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1263-1271
Factored Temporal Sigmoid Belief Networks for Sequence Learning
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1272-1281
False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1282-1291
Strongly-Typed Recurrent Neural Networks
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1292-1300
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Distributed Clustering of Linear Bandits in Peer to Peer Networks
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1301-1309
Collapsed Variational Inference for Sum-Product Networks
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1310-1318
On the Analysis of Complex Backup Strategies in Monte Carlo Tree Search
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1319-1328
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Benchmarking Deep Reinforcement Learning for Continuous Control
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1329-1338
K-Means Clustering with Distributed Dimensions
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1339-1348
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1349-1357
Fast Constrained Submodular Maximization: Personalized Data Summarization
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1358-1367
On the Statistical Limits of Convex Relaxations
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1368-1377
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1378-1387
Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1388-1396
Solving Ridge Regression using Sketched Preconditioned SVRG
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1397-1405
Cumulative Prospect Theory Meets Reinforcement Learning: Prediction and Control
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1406-1415
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Estimating Accuracy from Unlabeled Data: A Bayesian Approach
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1416-1425
Non-negative Matrix Factorization under Heavy Noise
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1426-1434
Extreme F-measure Maximization using Sparse Probability Estimates
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1435-1444
Auxiliary Deep Generative Models
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1445-1453
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Importance Sampling Tree for Large-scale Empirical Expectation
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1454-1462
Starting Small - Learning with Adaptive Sample Sizes
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1463-1471
Deep Gaussian Processes for Regression using Approximate Expectation Propagation
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1472-1481
DR-ABC: Approximate Bayesian Computation with Kernel-Based Distribution Regression
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1482-1491
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Predictive Entropy Search for Multi-objective Bayesian Optimization
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1492-1501
Rich Component Analysis
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1502-1510
Black-Box Alpha Divergence Minimization
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1511-1520
One-Shot Generalization in Deep Generative Models
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1521-1529
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Optimal Classification with Multivariate Losses
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1530-1538
A ranking approach to global optimization
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1539-1547
Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1548-1557
Autoencoding beyond pixels using a learned similarity metric
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1558-1566
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Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1567-1576
Simultaneous Safe Screening of Features and Samples in Doubly Sparse Modeling
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1577-1586
Anytime optimal algorithms in stochastic multi-armed bandits
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1587-1595
Bounded Off-Policy Evaluation with Missing Data for Course Recommendation and Curriculum Design
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1596-1604
On collapsed representation of hierarchical Completely Random Measures
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1605-1613
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1614-1623
Black-box Optimization with a Politician
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1624-1631
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Gaussian process nonparametric tensor estimator and its minimax optimality
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1632-1641
No-Regret Algorithms for Heavy-Tailed Linear Bandits
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1642-1650
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Extended and Unscented Kitchen Sinks
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1651-1659
Matrix Eigen-decomposition via Doubly Stochastic Riemannian Optimization
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1660-1669
Recommendations as Treatments: Debiasing Learning and Evaluation
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1670-1679
ForecastICU: A Prognostic Decision Support System for Timely Prediction of Intensive Care Unit Admission
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1680-1689
An optimal algorithm for the Thresholding Bandit Problem
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1690-1698
Fast Parameter Inference in Nonlinear Dynamical Systems using Iterative Gradient Matching
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1699-1707
[abs][Download PDF]
Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1708-1716
Learning Granger Causality for Hawkes Processes
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1717-1726
Neural Variational Inference for Text Processing
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1727-1736
Dictionary Learning for Massive Matrix Factorization
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1737-1746
[abs][Download PDF]
Pixel Recurrent Neural Networks
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1747-1756
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Why Most Decisions Are Easy in Tetris—And Perhaps in Other Sequential Decision Problems, As Well
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1757-1765
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Gaussian quadrature for matrix inverse forms with applications
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1766-1775
Train and Test Tightness of LP Relaxations in Structured Prediction
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1776-1785
Stochastic Optimization for Multiview Representation Learning using Partial Least Squares
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1786-1794
Hierarchical Compound Poisson Factorization
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1795-1803
Opponent Modeling in Deep Reinforcement Learning
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1804-1813
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No penalty no tears: Least squares in high-dimensional linear models
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1814-1822
SDNA: Stochastic Dual Newton Ascent for Empirical Risk Minimization
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1823-1832
On Graduated Optimization for Stochastic Non-Convex Problems
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1833-1841
Meta-Learning with Memory-Augmented Neural Networks
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1842-1850
The knockoff filter for FDR control in group-sparse and multitask regression
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1851-1859
[abs][Download PDF]
Softened Approximate Policy Iteration for Markov Games
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1860-1868
Stochastic Block BFGS: Squeezing More Curvature out of Data
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1869-1878
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Differential Geometric Regularization for Supervised Learning of Classifiers
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1879-1888
Exploiting Cyclic Symmetry in Convolutional Neural Networks
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1889-1898
[abs][Download PDF]
Graying the black box: Understanding DQNs
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1899-1908
The Sum-Product Theorem: A Foundation for Learning Tractable Models
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1909-1918
Pareto Frontier Learning with Expensive Correlated Objectives
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1919-1927
Asynchronous Methods for Deep Reinforcement Learning
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1928-1937
A Simple and Strongly-Local Flow-Based Method for Cut Improvement
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1938-1947
Nonlinear Statistical Learning with Truncated Gaussian Graphical Models
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1948-1957
Barron and Cover’s Theory in Supervised Learning and its Application to Lasso
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1958-1966
Nonparametric Canonical Correlation Analysis
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1967-1976
BISTRO: An Efficient Relaxation-Based Method for Contextual Bandits
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1977-1985
Associative Long Short-Term Memory
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1986-1994
Dueling Network Architectures for Deep Reinforcement Learning
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:1995-2003
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Persistence weighted Gaussian kernel for topological data analysis
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2004-2013
Learning Convolutional Neural Networks for Graphs
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2014-2023
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Persistent RNNs: Stashing Recurrent Weights On-Chip
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2024-2033
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Recurrent Orthogonal Networks and Long-Memory Tasks
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2034-2042
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The Arrow of Time in Multivariate Time Series
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2043-2051
Mixture Proportion Estimation via Kernel Embeddings of Distributions
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2052-2060
Fast DPP Sampling for Nystrom with Application to Kernel Methods
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2061-2070
Complex Embeddings for Simple Link Prediction
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2071-2080
Interactive Bayesian Hierarchical Clustering
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2081-2090
A Convolutional Attention Network for Extreme Summarization of Source Code
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2091-2100
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How to Fake Multiply by a Gaussian Matrix
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2101-2110
Differentially Private Chi-Squared Hypothesis Testing: Goodness of Fit and Independence Testing
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2111-2120
Pliable Rejection Sampling
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2121-2129
Differentially Private Policy Evaluation
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2130-2138
Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2139-2148
Discrete Deep Feature Extraction: A Theory and New Architectures
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2149-2158
Efficient Algorithms for Adversarial Contextual Learning
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2159-2168
Training Deep Neural Networks via Direct Loss Minimization
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2169-2177
Sequence to Sequence Training of CTC-RNNs with Partial Windowing
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2178-2187
Variational Inference for Monte Carlo Objectives
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2188-2196
Hierarchical Decision Making In Electricity Grid Management
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2197-2206
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Learning Sparse Combinatorial Representations via Two-stage Submodular Maximization
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2207-2216
Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2217-2225
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Isotonic Hawkes Processes
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2226-2234
Cross-Graph Learning of Multi-Relational Associations
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2235-2243
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Markov-modulated Marked Poisson Processes for Check-in Data
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2244-2253
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Beyond Parity Constraints: Fourier Analysis of Hash Functions for Inference
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2254-2262
On the Power and Limits of Distance-Based Learning
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2263-2271
A Convex Atomic-Norm Approach to Multiple Sequence Alignment and Motif Discovery
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2272-2280
Generalized Direct Change Estimation in Ising Model Structure
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2281-2290
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Robust Principal Component Analysis with Side Information
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2291-2299
Towards Faster Rates and Oracle Property for Low-Rank Matrix Estimation
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2300-2309
Early and Reliable Event Detection Using Proximity Space Representation
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2310-2319
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Stratified Sampling Meets Machine Learning
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2320-2329
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Efficient Multi-Instance Learning for Activity Recognition from Time Series Data Using an Auto-Regressive Hidden Markov Model
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2330-2339
Generalization Properties and Implicit Regularization for Multiple Passes SGM
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2340-2348
Principal Component Projection Without Principal Component Analysis
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2349-2357
Recovery guarantee of weighted low-rank approximation via alternating minimization
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2358-2367
Deconstructing the Ladder Network Architecture
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2368-2376
Generalization and Exploration via Randomized Value Functions
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2377-2386
Evasion and Hardening of Tree Ensemble Classifiers
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2387-2396
Dynamic Memory Networks for Visual and Textual Question Answering
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2397-2406
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Estimating Cosmological Parameters from the Dark Matter Distribution
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2407-2416
Learning Population-Level Diffusions with Generative RNNs
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2417-2426
Expressiveness of Rectifier Networks
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2427-2435
Discrete Distribution Estimation under Local Privacy
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2436-2444
Square Root Graphical Models: Multivariate Generalizations of Univariate Exponential Families that Permit Positive Dependencies
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2445-2453
A Box-Constrained Approach for Hard Permutation Problems
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2454-2463
Geometric Mean Metric Learning
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2464-2471
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Sparse Nonlinear Regression: Parameter Estimation under Nonconvexity
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2472-2481
Conditional Bernoulli Mixtures for Multi-label Classification
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2482-2491
Scalable Discrete Sampling as a Multi-Armed Bandit Problem
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2492-2501
Recycling Randomness with Structure for Sublinear time Kernel Expansions
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2502-2510
Bidirectional Helmholtz Machines
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2511-2519
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Faster Convex Optimization: Simulated Annealing with an Efficient Universal Barrier
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2520-2528
Preconditioning Kernel Matrices
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2529-2538
Greedy Column Subset Selection: New Bounds and Distributed Algorithms
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2539-2548
Dynamic Capacity Networks
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2549-2558
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Pricing a Low-regret Seller
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2559-2567
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Estimation from Indirect Supervision with Linear Moments
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2568-2577
Speeding up k-means by approximating Euclidean distances via block vectors
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2578-2586
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Learning and Inference via Maximum Inner Product Search
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2587-2596
A Superlinearly-Convergent Proximal Newton-type Method for the Optimization of Finite Sums
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2597-2605
A Kernel Test of Goodness of Fit
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2606-2615
Interacting Particle Markov Chain Monte Carlo
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2616-2625
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2626-2634
A Theory of Generative ConvNet
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2635-2644
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Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2645-2654
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Computationally Efficient Nyström Approximation using Fast Transforms
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2655-2663
Gromov-Wasserstein Averaging of Kernel and Distance Matrices
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2664-2672
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Robust Monte Carlo Sampling using Riemannian Nosé-Poincaré Hamiltonian Dynamics
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2673-2681
The Segmented iHMM: A Simple, Efficient Hierarchical Infinite HMM
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2682-2691
Meta–Gradient Boosted Decision Tree Model for Weight and Target Learning
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2692-2701
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Discriminative Embeddings of Latent Variable Models for Structured Data
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2702-2711
Robust Random Cut Forest Based Anomaly Detection on Streams
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2712-2721
Training Neural Networks Without Gradients: A Scalable ADMM Approach
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2722-2731
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Clustering High Dimensional Categorical Data via Topographical Features
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2732-2740
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Efficient Algorithms for Large-scale Generalized Eigenvector Computation and Canonical Correlation Analysis
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2741-2750
Algorithms for Optimizing the Ratio of Submodular Functions
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2751-2759
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Model-Free Imitation Learning with Policy Optimization
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2760-2769
ADIOS: Architectures Deep In Output Space
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2770-2779
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Conditional Dependence via Shannon Capacity: Axioms, Estimators and Applications
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2780-2789
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Control of Memory, Active Perception, and Action in Minecraft
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2790-2799
The Label Complexity of Mixed-Initiative Classifier Training
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2800-2809
Bayesian Poisson Tucker Decomposition for Learning the Structure of International Relations
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2810-2819
Tensor Decomposition via Joint Matrix Schur Decomposition
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2820-2828
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Continuous Deep Q-Learning with Model-based Acceleration
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2829-2838
Domain Adaptation with Conditional Transferable Components
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2839-2848
Fixed Point Quantization of Deep Convolutional Networks
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2849-2858
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Provable Algorithms for Inference in Topic Models
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2859-2867
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Epigraph projections for fast general convex programming
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2868-2877
Fast Algorithms for Segmented Regression
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2878-2886
Energetic Natural Gradient Descent
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2887-2895
Partition Functions from Rao-Blackwellized Tempered Sampling
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2896-2905
Learning Mixtures of Plackett-Luce Models
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2906-2914
Near Optimal Behavior via Approximate State Abstraction
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2915-2923
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Power of Ordered Hypothesis Testing
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2924-2932
PHOG: Probabilistic Model for Code
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2933-2942
Shifting Regret, Mirror Descent, and Matrices
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2943-2951
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Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2952-2960
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Model-Free Trajectory Optimization for Reinforcement Learning
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2961-2970
Controlling the distance to a Kemeny consensus without computing it
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2971-2980
Horizontally Scalable Submodular Maximization
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2981-2989
Group Equivariant Convolutional Networks
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:2990-2999
Stochastic Discrete Clenshaw-Curtis Quadrature
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:3000-3009
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Correcting Forecasts with Multifactor Neural Attention
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:3010-3019
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Learning Representations for Counterfactual Inference
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:3020-3029
Automatic Construction of Nonparametric Relational Regression Models for Multiple Time Series
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:3030-3039
Inference Networks for Sequential Monte Carlo in Graphical Models
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:3040-3049
Slice Sampling on Hamiltonian Trajectories
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:3050-3058
Noisy Activation Functions
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:3059-3068
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PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification
; Proceedings of The 33rd International Conference on Machine Learning, PMLR 48:3069-3077
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