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Volume 28: International Conference on Machine Learning, 17-19 June 2013, Atlanta, Georgia, USA
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Editors: Sanjoy Dasgupta, David McAllester
Cycle 1 Papers
An Optimal Policy for Target Localization with Application to Electron Microscopy
; PMLR 28(1):1-9
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Domain Generalization via Invariant Feature Representation
; PMLR 28(1):10-18
A Spectral Learning Approach to Range-Only SLAM
; PMLR 28(1):19-26
Sparsity-Based Generalization Bounds for Predictive Sparse Coding
; PMLR 28(1):36-44
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
; PMLR 28(1):53-61
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
; PMLR 28(1):71-79
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Stochastic Alternating Direction Method of Multipliers
; PMLR 28(1):80-88
Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models
; PMLR 28(1):98-106
Risk Bounds and Learning Algorithms for the Regression Approach to Structured Output Prediction
; PMLR 28(1):107-114
Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures
; PMLR 28(1):115-123
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Gibbs Max-Margin Topic Models with Fast Sampling Algorithms
; PMLR 28(1):124-132
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Combinatorial Multi-Armed Bandit: General Framework and Applications
; PMLR 28(1):151-159
Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization
; PMLR 28(1):160-168
Convex formulations of radius-margin based Support Vector Machines
; PMLR 28(1):169-177
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Modelling Sparse Dynamical Systems with Compressed Predictive State Representations
; PMLR 28(1):178-186
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Discriminatively Activated Sparselets
; PMLR 28(1):196-204
The Pairwise Piecewise-Linear Embedding for Efficient Non-Linear Classification
; PMLR 28(1):205-213
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Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation
; PMLR 28(1):222-230
Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization
; PMLR 28(1):231-239
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Principal Component Analysis on non-Gaussian Dependent Data
; PMLR 28(1):240-248
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Learning Optimally Sparse Support Vector Machines
; PMLR 28(1):266-274
Dynamic Probabilistic Models for Latent Feature Propagation in Social Networks
; PMLR 28(1):275-283
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Efficient Sparse Group Feature Selection via Nonconvex Optimization
; PMLR 28(1):284-292
Domain Adaptation for Sequence Labeling Tasks with a Probabilistic Language Adaptation Model
; PMLR 28(1):293-301
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Average Reward Optimization Objective In Partially Observable Domains
; PMLR 28(1):320-328
Efficient Dimensionality Reduction for Canonical Correlation Analysis
; PMLR 28(1):347-355
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Parsing epileptic events using a Markov switching process model for correlated time series
; PMLR 28(1):356-364
Optimal rates for stochastic convex optimization under Tsybakov noise condition
; PMLR 28(1):365-373
A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning
; PMLR 28(1):374-382
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Noisy and Missing Data Regression: Distribution-Oblivious Support Recovery
; PMLR 28(1):383-391
Dual Averaging and Proximal Gradient Descent for Online Alternating Direction Multiplier Method
; PMLR 28(1):392-400
Approximation properties of DBNs with binary hidden units and real-valued visible units
; PMLR 28(1):419-426
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Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization
; PMLR 28(1):427-435
General Functional Matrix Factorization Using Gradient Boosting
; PMLR 28(1):436-444
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Iterative Learning and Denoising in Convolutional Neural Associative Memories
; PMLR 28(1):445-453
Scaling Multidimensional Gaussian Processes using Projected Additive Approximations
; PMLR 28(1):454-461
Active Learning for Multi-Objective Optimization
; PMLR 28(1):462-470
A Generalized Kernel Approach to Structured Output Learning
; PMLR 28(1):471-479
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Efficient Active Learning of Halfspaces: an Aggressive Approach
; PMLR 28(1):480-488
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Online Feature Selection for Model-based Reinforcement Learning
; PMLR 28(1):498-506
ELLA: An Efficient Lifelong Learning Algorithm
; PMLR 28(1):507-515
A Structural SVM Based Approach for Optimizing Partial AUC
; PMLR 28(1):516-524
Convex Relaxations for Learning Bounded-Treewidth Decomposable Graphs
; PMLR 28(1):525-533
Optimal Regret Bounds for Selecting the State Representation in Reinforcement Learning
; PMLR 28(1):543-551
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Online Latent Dirichlet Allocation with Infinite Vocabulary
; PMLR 28(1):561-569
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Dynamical Models and tracking regret in online convex programming
; PMLR 28(1):579-587
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Large-Scale Bandit Problems and KWIK Learning
; PMLR 28(1):588-596
Learning an Internal Dynamics Model from Control Demonstration
; PMLR 28(1):606-614
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Constrained fractional set programs and their application in local clustering and community detection
; PMLR 28(1):624-632
Efficient Semi-supervised and Active Learning of Disjunctions
; PMLR 28(1):633-641
Convex Adversarial Collective Classification
; PMLR 28(1):642-650
Rounding Methods for Discrete Linear Classification
; PMLR 28(1):651-659
Cycle 2 Papers
Mixture of Mutually Exciting Processes for Viral Diffusion
; PMLR 28(2):1-9
Toward Optimal Stratification for Stratified Monte-Carlo Integration
; PMLR 28(2):28-36
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A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems
; PMLR 28(2):37-45
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Thurstonian Boltzmann Machines: Learning from Multiple Inequalities
; PMLR 28(2):46-54
A Variational Approximation for Topic Modeling of Hierarchical Corpora
; PMLR 28(2):55-63
Ellipsoidal Multiple Instance Learning
; PMLR 28(2):73-81
Generic Exploration and K-armed Voting Bandits
; PMLR 28(2):91-99
A unifying framework for vector-valued manifold regularization and multi-view learning
; PMLR 28(2):100-108
Scalable Optimization of Neighbor Embedding for Visualization
; PMLR 28(2):127-135
Precision-recall space to correct external indices for biclustering
; PMLR 28(2):136-144
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Strict Monotonicity of Sum of Squares Error and Normalized Cut in the Lattice of Clusterings
; PMLR 28(2):163-171
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Transition Matrix Estimation in High Dimensional Time Series
; PMLR 28(2):172-180
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Subproblem-Tree Calibration: A Unified Approach to Max-Product Message Passing
; PMLR 28(2):190-198
Collaborative hyperparameter tuning
; PMLR 28(2):199-207
SADA: A General Framework to Support Robust Causation Discovery
; PMLR 28(2):208-216
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Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines
; PMLR 28(2):217-225
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Modeling Musical Influence with Topic Models
; PMLR 28(2):244-252
Subtle Topic Models and Discovering Subtly Manifested Software Concerns Automatically
; PMLR 28(2):253-261
A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions
; PMLR 28(2):271-279
A Practical Algorithm for Topic Modeling with Provable Guarantees
; PMLR 28(2):280-288
An Adaptive Learning Rate for Stochastic Variational Inference
; PMLR 28(2):298-306
Canonical Correlation Analysis based on Hilbert-Schmidt Independence Criterion and Centered Kernel Target Alignment
; PMLR 28(2):316-324
Taming the Curse of Dimensionality: Discrete Integration by Hashing and Optimization
; PMLR 28(2):334-342
Sparse coding for multitask and transfer learning
; PMLR 28(2):343-351
Direct Modeling of Complex Invariances for Visual Object Features
; PMLR 28(2):352-360
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Hierarchically-coupled hidden Markov models for learning kinetic rates from single-molecule data
; PMLR 28(2):361-369
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Cycle 3 Papers
Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning
; PMLR 28(3):10-18
Gossip-based distributed stochastic bandit algorithms
; PMLR 28(3):19-27
Hierarchical Regularization Cascade for Joint Learning
; PMLR 28(3):37-45
Multi-Class Classification with Maximum Margin Multiple Kernel
; PMLR 28(3):46-54
Bayesian Games for Adversarial Regression Problems
; PMLR 28(3):55-63
Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing
; PMLR 28(3):64-72
MILEAGE: Multiple Instance LEArning with Global Embedding
; PMLR 28(3):82-90
Learning invariant features by harnessing the aperture problem
; PMLR 28(3):100-108
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Efficient Ranking from Pairwise Comparisons
; PMLR 28(3):109-117
Differentially Private Learning with Kernels
; PMLR 28(3):118-126
Thompson Sampling for Contextual Bandits with Linear Payoffs
; PMLR 28(3):127-135
Learning Multiple Behaviors from Unlabeled Demonstrations in a Latent Controller Space
; PMLR 28(3):136-144
Inference algorithms for pattern-based CRFs on sequence data
; PMLR 28(3):145-153
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One-Bit Compressed Sensing: Provable Support and Vector Recovery
; PMLR 28(3):154-162
Learning Sparse Penalties for Change-point Detection using Max Margin Interval Regression
; PMLR 28(3):172-180
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A Fast and Exact Energy Minimization Algorithm for Cycle MRFs
; PMLR 28(3):190-198
Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning
; PMLR 28(3):199-207
An Efficient Posterior Regularized Latent Variable Model for Interactive Sound Source Separation
; PMLR 28(3):208-216
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Estimating Unknown Sparsity in Compressed Sensing
; PMLR 28(3):217-225
MAD-Bayes: MAP-based Asymptotic Derivations from Bayes
; PMLR 28(3):226-234
The Most Generative Maximum Margin Bayesian Networks
; PMLR 28(3):235-243
Fastfood - Computing Hilbert Space Expansions in loglinear time
; PMLR 28(3):244-252
Joint Transfer and Batch-mode Active Learning
; PMLR 28(3):253-261
Message passing with l1 penalized KL minimization
; PMLR 28(3):262-270
Top-down particle filtering for Bayesian decision trees
; PMLR 28(3):280-288
Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations
; PMLR 28(3):289-297
Robust and Discriminative Self-Taught Learning
; PMLR 28(3):298-306
Unfolding Latent Tree Structures using 4th Order Tensors
; PMLR 28(3):316-324
Hierarchical Tensor Decomposition of Latent Tree Graphical Models
; PMLR 28(3):334-342
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Multi-View Clustering and Feature Learning via Structured Sparsity
; PMLR 28(3):352-360
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Solving Continuous POMDPs: Value Iteration with Incremental Learning of an Efficient Space Representation
; PMLR 28(3):370-378
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Learning Heteroscedastic Models by Convex Programming under Group Sparsity
; PMLR 28(3):379-387
Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels
; PMLR 28(3):388-395
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A Local Algorithm for Finding Well-Connected Clusters
; PMLR 28(3):396-404
Spectral Compressed Sensing via Structured Matrix Completion
; PMLR 28(3):414-422
Multi-Task Learning with Gaussian Matrix Generalized Inverse Gaussian Model
; PMLR 28(3):423-431
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Simple Sparsification Improves Sparse Denoising Autoencoders in Denoising Highly Corrupted Images
; PMLR 28(3):432-440
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On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions
; PMLR 28(3):441-449
Non-Linear Stationary Subspace Analysis with Application to Video Classification
; PMLR 28(3):450-458
Two-Sided Exponential Concentration Bounds for Bayes Error Rate and Shannon Entropy
; PMLR 28(3):459-467
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That was fast! Speeding up NN search of high dimensional distributions.
; PMLR 28(3):468-476
Entropic Affinities: Properties and Efficient Numerical Computation
; PMLR 28(3):477-485
Local Deep Kernel Learning for Efficient Non-linear SVM Prediction
; PMLR 28(3):486-494
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Temporal Difference Methods for the Variance of the Reward To Go
; PMLR 28(3):495-503
\proptoSVM for Learning with Label Proportions
; PMLR 28(3):504-512
Parameter Learning and Convergent Inference for Dense Random Fields
; PMLR 28(3):513-521
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On Compact Codes for Spatially Pooled Features
; PMLR 28(3):549-557
Dynamic Covariance Models for Multivariate Financial Time Series
; PMLR 28(3):558-566
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Revisiting the Nystrom method for improved large-scale machine learning
; PMLR 28(3):567-575
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Infinite Positive Semidefinite Tensor Factorization for Source Separation of Mixture Signals
; PMLR 28(3):576-584
A Unified Robust Regression Model for Lasso-like Algorithms
; PMLR 28(3):585-593
Quickly Boosting Decision Trees – Pruning Underachieving Features Early
; PMLR 28(3):594-602
On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance
; PMLR 28(3):603-611
Topic Model Diagnostics: Assessing Domain Relevance via Topical Alignment
; PMLR 28(3):612-620
Online Kernel Learning with a Near Optimal Sparsity Bound
; PMLR 28(3):621-629
Spectral Learning of Hidden Markov Models from Dynamic and Static Data
; PMLR 28(3):630-638
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Analogy-preserving Semantic Embedding for Visual Object Categorization
; PMLR 28(3):639-647
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Algebraic classifiers: a generic approach to fast cross-validation, online training, and parallel training
; PMLR 28(3):648-656
Factorial Multi-Task Learning : A Bayesian Nonparametric Approach
; PMLR 28(3):657-665
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Sharp Generalization Error Bounds for Randomly-projected Classifiers
; PMLR 28(3):693-701
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LDA Topic Model with Soft Assignment of Descriptors to Words
; PMLR 28(3):711-719
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Infinite Markov-Switching Maximum Entropy Discrimination Machines
; PMLR 28(3):729-737
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A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers
; PMLR 28(3):738-746
Computation-Risk Tradeoffs for Covariance-Thresholded Regression
; PMLR 28(3):756-764
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Robust Sparse Regression under Adversarial Corruption
; PMLR 28(3):774-782
Optimization with First-Order Surrogate Functions
; PMLR 28(3):783-791
Learning Spatio-Temporal Structure from RGB-D Videos for Human Activity Detection and Anticipation
; PMLR 28(3):792-800
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Consistency versus Realizable H-Consistency for Multiclass Classification
; PMLR 28(3):801-809
Domain Adaptation under Target and Conditional Shift
; PMLR 28(3):819-827
Collective Stability in Structured Prediction: Generalization from One Example
; PMLR 28(3):828-836
Stable Coactive Learning via Perturbation
; PMLR 28(3):837-845
Fast Semidifferential-based Submodular Function Optimization
; PMLR 28(3):855-863
Kernelized Bayesian Matrix Factorization
; PMLR 28(3):864-872
Infinitesimal Annealing for Training Semi-Supervised Support Vector Machines
; PMLR 28(3):897-905
Concurrent Reinforcement Learning from Customer Interactions
; PMLR 28(3):924-932
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Saving Evaluation Time for the Decision Function in Boosting: Representation and Reordering Base Learner
; PMLR 28(3):933-941
Fast Dual Variational Inference for Non-Conjugate Latent Gaussian Models
; PMLR 28(3):951-959
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Modeling Temporal Evolution and Multiscale Structure in Networks
; PMLR 28(3):960-968
Dependent Normalized Random Measures
; PMLR 28(3):969-977
Fast Max-Margin Matrix Factorization with Data Augmentation
; PMLR 28(3):978-986
Natural Image Bases to Represent Neuroimaging Data
; PMLR 28(3):987-994
Breaking the Small Cluster Barrier of Graph Clustering
; PMLR 28(3):995-1003
Scaling the Indian Buffet Process via Submodular Maximization
; PMLR 28(3):1013-1021
Mini-Batch Primal and Dual Methods for SVMs
; PMLR 28(3):1022-1030
Spectral Experts for Estimating Mixtures of Linear Regressions
; PMLR 28(3):1040-1048
Distribution to Distribution Regression
; PMLR 28(3):1049-1057
Regularization of Neural Networks using DropConnect
; PMLR 28(3):1058-1066
Gaussian Process Kernels for Pattern Discovery and Extrapolation
; PMLR 28(3):1067-1075
Algorithms for Direct 0–1 Loss Optimization in Binary Classification
; PMLR 28(3):1085-1093
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Top-k Selection based on Adaptive Sampling of Noisy Preferences
; PMLR 28(3):1094-1102
Exploiting Ontology Structures and Unlabeled Data for Learning
; PMLR 28(3):1112-1120
O(logT) Projections for Stochastic Optimization of Smooth and Strongly Convex Functions
; PMLR 28(3):1121-1129
Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization
; PMLR 28(3):1130-1138
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On the importance of initialization and momentum in deep learning
; PMLR 28(3):1139-1147
A non-IID Framework for Collaborative Filtering with Restricted Boltzmann Machines
; PMLR 28(3):1148-1156
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Intersecting singularities for multi-structured estimation
; PMLR 28(3):1157-1165
Structure Discovery in Nonparametric Regression through Compositional Kernel Search
; PMLR 28(3):1166-1174
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Copy or Coincidence? A Model for Detecting Social Influence and Duplication Events
; PMLR 28(3):1175-1183
Topic Discovery through Data Dependent and Random Projections
; PMLR 28(3):1202-1210
Selective sampling algorithms for cost-sensitive multiclass prediction
; PMLR 28(3):1220-1228
Consistency of Online Random Forests
; PMLR 28(3):1256-1264
Sparse Gaussian Conditional Random Fields: Algorithms, Theory, and Application to Energy Forecasting
; PMLR 28(3):1265-1273
Expensive Function Optimization with Stochastic Binary Outcomes
; PMLR 28(3):1283-1291
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Learning Triggering Kernels for Multi-dimensional Hawkes Processes
; PMLR 28(3):1301-1309
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On the difficulty of training recurrent neural networks
; PMLR 28(3):1310-1318
Nonparametric Mixture of Gaussian Processes with Constraints
; PMLR 28(3):1346-1354
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Scale Invariant Conditional Dependence Measures
; PMLR 28(3):1355-1363
Learning Policies for Contextual Submodular Prediction
; PMLR 28(3):1364-1372
Manifold Preserving Hierarchical Topic Models for Quantization and Approximation
; PMLR 28(3):1373-1381
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Safe Screening of Non-Support Vectors in Pathwise SVM Computation
; PMLR 28(3):1382-1390
Semi-supervised Clustering by Input Pattern Assisted Pairwise Similarity Matrix Completion
; PMLR 28(3):1400-1408
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Learning the beta-Divergence in Tweedie Compound Poisson Matrix Factorization Models
; PMLR 28(3):1409-1417
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Fast algorithms for sparse principal component analysis based on Rayleigh quotient iteration
; PMLR 28(3):1418-1425
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Nested Chinese Restaurant Franchise Process: Applications to User Tracking and Document Modeling
; PMLR 28(3):1426-1434
On A Nonlinear Generalization of Sparse Coding and Dictionary Learning
; PMLR 28(3):1480-1488
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Estimation of Causal Peer Influence Effects
; PMLR 28(3):1489-1497
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