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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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