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Volume 32: International Conference on Machine Learning, 22-24 June 2014, Beijing, China
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Editors: Eric P. Xing, Tony Jebara
Cycle 1 Papers
A Discriminative Latent Variable Model for Online Clustering
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):1-9
Kernel Mean Estimation and Stein Effect
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):10-18
Demystifying Information-Theoretic Clustering
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):19-27
Covering Number for Efficient Heuristic-based POMDP Planning
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):28-36
The Coherent Loss Function for Classification
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):37-45
Fast Stochastic Alternating Direction Method of Multipliers
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):46-54
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Active Detection via Adaptive Submodularity
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):55-63
Accelerated Proximal Stochastic Dual Coordinate Ascent for Regularized Loss Minimization
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):64-72
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An Adaptive Accelerated Proximal Gradient Method and its Homotopy Continuation for Sparse Optimization
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):73-81
Recurrent Convolutional Neural Networks for Scene Labeling
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):82-90
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A Statistical Perspective on Algorithmic Leveraging
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):91-99
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Thompson Sampling for Complex Online Problems
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):100-108
Boosting multi-step autoregressive forecasts
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):109-117
A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):118-126
Scaling Up Approximate Value Iteration with Options: Better Policies with Fewer Iterations
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):127-135
Latent Bandits.
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):136-144
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Fast Allocation of Gaussian Process Experts
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):145-153
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Von Mises-Fisher Clustering Models
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):154-162
Convergence rates for persistence diagram estimation in Topological Data Analysis
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):163-171
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Buffer k-d Trees: Processing Massive Nearest Neighbor Queries on GPUs
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):172-180
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Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):181-189
Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):190-198
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The Inverse Regression Topic Model
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):199-207
A Consistent Histogram Estimator for Exchangeable Graph Models
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):208-216
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Latent Variable Copula Inference for Bundle Pricing from Retail Transaction Data
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):217-225
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Towards Minimax Online Learning with Unknown Time Horizon
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):226-234
Factorized Point Process Intensities: A Spatial Analysis of Professional Basketball
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):235-243
Margins, Kernels and Non-linear Smoothed Perceptrons
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):244-252
Robust RegBayes: Selectively Incorporating First-Order Logic Domain Knowledge into Bayesian Models
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):253-261
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Learning Theory and Algorithms for revenue optimization in second price auctions with reserve
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):262-270
Low-density Parity Constraints for Hashing-Based Discrete Integration
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):271-279
Prediction with Limited Advice and Multiarmed Bandits with Paid Observations
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):280-287
Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):288-296
Large-Margin Metric Learning for Constrained Partitioning Problems
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):297-305
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Wasserstein Propagation for Semi-Supervised Learning
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):306-314
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Max-Margin Infinite Hidden Markov Models
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):315-323
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Efficient Approximation of Cross-Validation for Kernel Methods using Bouligand Influence Function
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):324-332
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Generalized Exponential Concentration Inequality for Renyi Divergence Estimation
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):333-341
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Boosting with Online Binary Learners for the Multiclass Bandit Problem
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):342-350
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Optimal Budget Allocation: Theoretical Guarantee and Efficient Algorithm
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):351-359
Computing Parametric Ranking Models via Rank-Breaking
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):360-368
Tracking Adversarial Targets
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):369-377
Online Bayesian Passive-Aggressive Learning
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):378-386
Deterministic Policy Gradient Algorithms
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):387-395
Modeling Correlated Arrival Events with Latent Semi-Markov Processes
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):396-404
Towards scaling up Markov chain Monte Carlo: an adaptive subsampling approach
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):405-413
Diagnosis determination: decision trees optimizing simultaneously worst and expected testing cost
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):414-422
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Condensed Filter Tree for Cost-Sensitive Multi-Label Classification
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):423-431
On Measure Concentration of Random Maximum A-Posteriori Perturbations
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):432-440
Bias in Natural Actor-Critic Algorithms
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):441-448
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Dimension-free Concentration Bounds on Hankel Matrices for Spectral Learning
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):449-457
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On Modelling Non-linear Topical Dependencies
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):458-466
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A Deep and Tractable Density Estimator
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):467-475
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(Near) Dimension Independent Risk Bounds for Differentially Private Learning
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):476-484
Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):485-493
Discriminative Features via Generalized Eigenvectors
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):494-502
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Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):503-511
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Online Learning in Markov Decision Processes with Changing Cost Sequences
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):512-520
Unimodal Bandits: Regret Lower Bounds and Optimal Algorithms
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):521-529
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Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):530-538
Asymptotically consistent estimation of the number of change points in highly dependent time series
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):539-547
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Coordinate-descent for learning orthogonal matrices through Givens rotations
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):548-556
Densifying One Permutation Hashing via Rotation for Fast Near Neighbor Search
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):557-565
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A Divide-and-Conquer Solver for Kernel Support Vector Machines
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):566-574
Nuclear Norm Minimization via Active Subspace Selection
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):575-583
Provable Bounds for Learning Some Deep Representations
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):584-592
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Large-scale Multi-label Learning with Missing Labels
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):593-601
Learning Graphs with a Few Hubs
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):602-610
Agnostic Bayesian Learning of Ensembles
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):611-619
Towards an optimal stochastic alternating direction method of multipliers
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):620-628
Spherical Hamiltonian Monte Carlo for Constrained Target Distributions
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):629-637
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Efficient Continuous-Time Markov Chain Estimation
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):638-646
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):647-655
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Making the Most of Bag of Words: Sentence Regularization with Alternating Direction Method of Multipliers
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):656-664
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Narrowing the Gap: Random Forests In Theory and In Practice
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):665-673
Coherent Matrix Completion
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):674-682
Admixture of Poisson MRFs: A Topic Model with Word Dependencies
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):683-691
True Online TD(lambda)
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):692-700
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Memory Efficient Kernel Approximation
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):701-709
Learning Sum-Product Networks with Direct and Indirect Variable Interactions
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):710-718
Hamiltonian Monte Carlo Without Detailed Balance
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):719-726
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Filtering with Abstract Particles
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):727-735
Stochastic Dual Coordinate Ascent with Alternating Direction Method of Multipliers
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):736-744
Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):745-753
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An Efficient Approach for Assessing Hyperparameter Importance
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(1):754-762
Cycle 2 Papers
An Information Geometry of Statistical Manifold Learning
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1-9
Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):10-18
Compact Random Feature Maps
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):19-27
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Concentration in unbounded metric spaces and algorithmic stability
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):28-36
Heavy-tailed regression with a generalized median-of-means
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):37-45
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Spectral Bandits for Smooth Graph Functions
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):46-54
Robust Principal Component Analysis with Complex Noise
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):55-63
Scalable Semidefinite Relaxation for Maximum A Posterior Estimation
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):64-72
Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):73-81
Automated inference of point of view from user interactions in collective intelligence venues
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):82-90
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Rank-One Matrix Pursuit for Matrix Completion
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):91-99
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Near-Optimal Joint Object Matching via Convex Relaxation
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):100-108
Convex Total Least Squares
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):109-117
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On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):118-126
Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):127-135
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A Unified Framework for Consistency of Regularized Loss Minimizers
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):136-144
Geodesic Distance Function Learning via Heat Flow on Vector Fields
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):145-153
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Near-Optimally Teaching the Crowd to Classify
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):154-162
On the convergence of no-regret learning in selfish routing
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):163-171
Improving offline evaluation of contextual bandit algorithms via bootstrapping techniques
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):172-180
Scaling Up Robust MDPs using Function Approximation
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):181-189
Marginal Structured SVM with Hidden Variables
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):190-198
Linear and Parallel Learning of Markov Random Fields
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):199-207
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Pitfalls in the use of Parallel Inference for the Dirichlet Process
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):208-216
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Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):217-225
Deep Generative Stochastic Networks Trainable by Backprop
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):226-234
A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):235-243
Statistical-Computational Phase Transitions in Planted Models: The High-Dimensional Setting
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):244-252
Gaussian Process Optimization with Mutual Information
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):253-261
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Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):262-270
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Exchangeable Variable Models
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):271-279
Clustering in the Presence of Background Noise
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):280-288
Safe Screening with Variational Inequalities and Its Application to Lasso
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):289-297
Learning the Consistent Behavior of Common Users for Target Node Prediction across Social Networks
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):298-306
Signal recovery from Pooling Representations
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):307-315
PAC-inspired Option Discovery in Lifelong Reinforcement Learning
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):316-324
Multi-label Classification via Feature-aware Implicit Label Space Encoding
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):325-333
Scalable Gaussian Process Structured Prediction for Grid Factor Graph Applications
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):334-342
Anomaly Ranking as Supervised Bipartite Ranking
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):343-351
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Hierarchical Quasi-Clustering Methods for Asymmetric Networks
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):352-360
Rectangular Tiling Process
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):361-369
Two-Stage Metric Learning
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):370-378
Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):379-387
Elementary Estimators for High-Dimensional Linear Regression
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):388-396
Elementary Estimators for Sparse Covariance Matrices and other Structured Moments
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):397-405
Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):406-414
Bayesian Max-margin Multi-Task Learning with Data Augmentation
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):415-423
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Sparse Reinforcement Learning via Convex Optimization
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):424-432
Gaussian Process Classification and Active Learning with Multiple Annotators
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):433-441
Structured Prediction of Network Response
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):442-450
An Analysis of State-Relevance Weights and Sampling Distributions on L1-Regularized Approximate Linear Programming Approximation Accuracy
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):451-459
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Optimization Equivalence of Divergences Improves Neighbor Embedding
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):460-468
An Asynchronous Parallel Stochastic Coordinate Descent Algorithm
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):469-477
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Consistency of Causal Inference under the Additive Noise Model
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):478-486
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Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):487-495
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Linear Programming for Large-Scale Markov Decision Problems
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):496-504
Linear Time Solver for Primal SVM
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):505-513
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Memory (and Time) Efficient Sequential Monte Carlo
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):514-522
Scaling SVM and Least Absolute Deviations via Exact Data Reduction
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):523-531
Latent Semantic Representation Learning for Scene Classification
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):532-540
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Least Squares Revisited: Scalable Approaches for Multi-class Prediction
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):541-549
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Local algorithms for interactive clustering
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):550-558
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Model-Based Relational RL When Object Existence is Partially Observable
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):559-567
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A new Q(lambda) with interim forward view and Monte Carlo equivalence
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):568-576
On Robustness and Regularization of Structural Support Vector Machines
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):577-585
Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):586-594
Multimodal Neural Language Models
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):595-603
Fast large-scale optimization by unifying stochastic gradient and quasi-Newton methods
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):604-612
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Alternating Minimization for Mixed Linear Regression
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):613-621
Stochastic Neighbor Compression
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):622-630
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Robust Learning under Uncertain Test Distributions: Relating Covariate Shift to Model Misspecification
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):631-639
Nonparametric Estimation of Multi-View Latent Variable Models
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):640-648
Structured Generative Models of Natural Source Code
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):649-657
A Single-Pass Algorithm for Efficiently Recovering Sparse Cluster Centers of High-dimensional Data
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):658-666
Statistical analysis of stochastic gradient methods for generalized linear models
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):667-675
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Coding for Random Projections
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):676-684
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Fast Computation of Wasserstein Barycenters
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):685-693
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Global graph kernels using geometric embeddings
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):694-702
Topic Modeling using Topics from Many Domains, Lifelong Learning and Big Data
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):703-711
K-means recovers ICA filters when independent components are sparse
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):712-720
Learning Mixtures of Linear Classifiers
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):721-729
The Falling Factorial Basis and Its Statistical Applications
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):730-738
Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):739-747
A Unifying View of Representer Theorems
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):748-756
Online Clustering of Bandits
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):757-765
Cold-start Active Learning with Robust Ordinal Matrix Factorization
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):766-774
Multivariate Maximal Correlation Analysis
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):775-783
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Efficient Label Propagation
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):784-792
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Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):793-801
Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):802-810
[abs][Download PDF]
Putting MRFs on a Tensor Train
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):811-819
Efficient Algorithms for Robust One-bit Compressive Sensing
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):820-828
Learning Complex Neural Network Policies with Trajectory Optimization
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):829-837
Composite Quantization for Approximate Nearest Neighbor Search
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):838-846
Local Ordinal Embedding
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):847-855
Reducing Dueling Bandits to Cardinal Bandits
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):856-864
Large-margin Weakly Supervised Dimensionality Reduction
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):865-873
Joint Inference of Multiple Label Types in Large Networks
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):874-882
[abs][Download PDF]
Hard-Margin Active Linear Regression
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):883-891
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Maximum Margin Multiclass Nearest Neighbors
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):892-900
Combinatorial Partial Monitoring Game with Linear Feedback and Its Applications
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):901-909
Sparse meta-Gaussian information bottleneck
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):910-918
Nonparametric Estimation of Renyi Divergence and Friends
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):919-927
Robust Inverse Covariance Estimation under Noisy Measurements
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):928-936
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Bayesian Optimization with Inequality Constraints
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):937-945
Circulant Binary Embedding
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):946-954
[abs][Download PDF]
Multiple Testing under Dependence via Semiparametric Graphical Models
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):955-963
Making Fisher Discriminant Analysis Scalable
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):964-972
Hierarchical Dirichlet Scaling Process
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):973-981
Approximation Analysis of Stochastic Gradient Langevin Dynamics by using Fokker-Planck Equation and Ito Process
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):982-990
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A PAC-Bayesian bound for Lifelong Learning
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):991-999
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Communication-Efficient Distributed Optimization using an Approximate Newton-type Method
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1000-1008
Concept Drift Detection Through Resampling
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1009-1017
Anti-differentiating approximation algorithms:A case study with min-cuts, spectral, and flow
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1018-1025
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A Bayesian Wilcoxon signed-rank test based on the Dirichlet process
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1026-1034
Min-Max Problems on Factor Graphs
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1035-1043
Distributed Stochastic Gradient MCMC
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1044-1052
Nearest Neighbors Using Compact Sparse Codes
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1053-1061
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Optimal Mean Robust Principal Component Analysis
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1062-1070
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Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1071-1079
Hierarchical Conditional Random Fields for Outlier Detection: An Application to Detecting Epileptogenic Cortical Malformations
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1080-1088
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A Physics-Based Model Prior for Object-Oriented MDPs
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1089-1097
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Outlier Path: A Homotopy Algorithm for Robust SVM
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1098-1106
Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1107-1115
Latent Confusion Analysis by Normalized Gamma Construction
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1116-1124
Finito: A faster, permutable incremental gradient method for big data problems
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1125-1133
Ensemble Methods for Structured Prediction
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1134-1142
Standardized Mutual Information for Clustering Comparisons: One Step Further in Adjustment for Chance
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1143-1151
Preserving Modes and Messages via Diverse Particle Selection
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1152-1160
Nonlinear Information-Theoretic Compressive Measurement Design
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1161-1169
Dual Query: Practical Private Query Release for High Dimensional Data
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1170-1178
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Deep Boosting
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1179-1187
Distributed Representations of Sentences and Documents
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1188-1196
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Understanding Protein Dynamics with L1-Regularized Reversible Hidden Markov Models
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1197-1205
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Online Multi-Task Learning for Policy Gradient Methods
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1206-1214
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Affinity Weighted Embedding
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1215-1223
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Learning the Parameters of Determinantal Point Process Kernels
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1224-1232
Discrete Chebyshev Classifiers
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1233-1241
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Deep AutoRegressive Networks
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1242-1250
A Convergence Rate Analysis for LogitBoost, MART and Their Variant
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1251-1259
Inferning with High Girth Graphical Models
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1260-1268
Learning Latent Variable Gaussian Graphical Models
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1269-1277
Stochastic Backpropagation and Approximate Inference in Deep Generative Models
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1278-1286
One Practical Algorithm for Both Stochastic and Adversarial Bandits
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1287-1295
Robust and Efficient Kernel Hyperparameter Paths with Guarantees
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1296-1304
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Active Transfer Learning under Model Shift
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1305-1313
Approximate Policy Iteration Schemes: A Comparison
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1314-1322
Stable and Efficient Representation Learning with Nonnegativity Constraints
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1323-1331
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Sample Efficient Reinforcement Learning with Gaussian Processes
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1332-1340
Memory and Computation Efficient PCA via Very Sparse Random Projections
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1341-1349
Time-Regularized Interrupting Options (TRIO)
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1350-1358
Randomized Nonlinear Component Analysis
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1359-1367
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High Order Regularization for Semi-Supervised Learning of Structured Output Problems
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1368-1376
Transductive Learning with Multi-class Volume Approximation
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1377-1385
Methods of Moments for Learning Stochastic Languages: Unified Presentation and Empirical Comparison
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1386-1394
Effective Bayesian Modeling of Groups of Related Count Time Series
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1395-1403
Variational Inference for Sequential Distance Dependent Chinese Restaurant Process
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1404-1412
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Discovering Latent Network Structure in Point Process Data
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1413-1421
A Kernel Independence Test for Random Processes
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1422-1430
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Learning to Disentangle Factors of Variation with Manifold Interaction
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1431-1439
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Learning Modular Structures from Network Data and Node Variables
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1440-1448
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Probabilistic Partial Canonical Correlation Analysis
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1449-1457
Skip Context Tree Switching
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1458-1466
Lower Bounds for the Gibbs Sampler over Mixtures of Gaussians
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1467-1475
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Marginalized Denoising Auto-encoders for Nonlinear Representations
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1476-1484
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Gaussian Processes for Bayesian Estimation in Ordinary Differential Equations
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1485-1493
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Fast Multi-stage Submodular Maximization
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1494-1502
Programming by Feedback
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1503-1511
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Probabilistic Matrix Factorization with Non-random Missing Data
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1512-1520
Pursuit-Evasion Without Regret, with an Application to Trading
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1521-1529
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The f-Adjusted Graph Laplacian: a Diagonal Modification with a Geometric Interpretation
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1530-1538
Riemannian Pursuit for Big Matrix Recovery
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1539-1547
Dynamic Programming Boosting for Discriminative Macro-Action Discovery
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1548-1556
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Online Stochastic Optimization under Correlated Bandit Feedback
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1557-1565
Weighted Graph Clustering with Non-Uniform Uncertainties
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1566-1574
GeNGA: A Generalization of Natural Gradient Ascent with Positive and Negative Convergence Results
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1575-1583
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A Bayesian Framework for Online Classifier Ensemble
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1584-1592
Adaptivity and Optimism: An Improved Exponentiated Gradient Algorithm
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1593-1601
Gaussian Approximation of Collective Graphical Models
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1602-1610
On learning to localize objects with minimal supervision
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1611-1619
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Multiresolution Matrix Factorization
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1620-1628
Learnability of the Superset Label Learning Problem
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1629-1637
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Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1638-1646
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Structured Recurrent Temporal Restricted Boltzmann Machines
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1647-1655
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Scalable and Robust Bayesian Inference via the Median Posterior
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1656-1664
Kernel Adaptive Metropolis-Hastings
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1665-1673
Input Warping for Bayesian Optimization of Non-Stationary Functions
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1674-1682
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Stochastic Gradient Hamiltonian Monte Carlo
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1683-1691
A Deep Semi-NMF Model for Learning Hidden Representations
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1692-1700
Asynchronous Distributed ADMM for Consensus Optimization
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1701-1709
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Spectral Regularization for Max-Margin Sequence Tagging
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1710-1718
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Learning by Stretching Deep Networks
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1719-1727
Nonnegative Sparse PCA with Provable Guarantees
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1728-1736
Active Learning of Parameterized Skills
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1737-1745
Learning Ordered Representations with Nested Dropout
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1746-1754
Learning the Irreducible Representations of Commutative Lie Groups
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1755-1763
Towards End-To-End Speech Recognition with Recurrent Neural Networks
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1764-1772
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Multi-period Trading Prediction Markets with Connections to Machine Learning
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1773-1781
Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1782-1790
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Neural Variational Inference and Learning in Belief Networks
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1791-1799
Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1800-1808
Beta Diffusion Trees
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1809-1817
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Learning Character-level Representations for Part-of-Speech Tagging
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1818-1826
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Saddle Points and Accelerated Perceptron Algorithms
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1827-1835
Robust Distance Metric Learning via Simultaneous L1-Norm Minimization and Maximization
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1836-1844
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Learning from Contagion (Without Timestamps)
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1845-1853
Stochastic Variational Inference for Bayesian Time Series Models
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1854-1862
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A Clockwork RNN
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1863-1871
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Estimating Latent-Variable Graphical Models using Moments and Likelihoods
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1872-1880
Universal Matrix Completion
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1881-1889
Finding Dense Subgraphs via Low-Rank Bilinear Optimization
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1890-1898
Compositional Morphology for Word Representations and Language Modelling
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1899-1907
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Learning Polynomials with Neural Networks
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1908-1916
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Exponential Family Matrix Completion under Structural Constraints
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1917-1925
Sample-based approximate regularization
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1926-1934
A Compilation Target for Probabilistic Programming Languages
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1935-1943
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Adaptive Monte Carlo via Bandit Allocation
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1944-1952
Efficient Dimensionality Reduction for High-Dimensional Network Estimation
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1953-1961
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Deterministic Anytime Inference for Stochastic Continuous-Time Markov Processes
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1962-1970
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Doubly Stochastic Variational Bayes for non-Conjugate Inference
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1971-1979
Efficient Learning of Mahalanobis Metrics for Ranking
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1980-1988
GEV-Canonical Regression for Accurate Binary Class Probability Estimation when One Class is Rare
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1989-1997
A reversible infinite HMM using normalised random measures
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):1998-2006
Structured Low-Rank Matrix Factorization: Optimality, Algorithm, and Applications to Image Processing
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):2007-2015
Influence Function Learning in Information Diffusion Networks
; Proceedings of the 31st International Conference on Machine Learning, PMLR 32(2):2016-2024
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