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Volume 15: Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 11-13 April 2011, Fort Lauderdale, FL, USA
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Editors: Geoffrey Gordon, David Dunson, Miroslav Dudík
Preface
Part I: Notable Papers
Learning equivalence classes of acyclic models with latent and selection variables from multiple datasets with overlapping variables
JMLR Workshop and Conference Proceedings 15:3-15
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Discussion of “Learning Equivalence Classes of Acyclic Models with Latent and Selection Variables from Multiple Datasets with Overlapping Variables”
JMLR Workshop and Conference Proceedings 15:16-18
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Contextual Bandit Algorithms with Supervised Learning Guarantees
JMLR Workshop and Conference Proceedings 15:19-26
;Discussion of “Contextual Bandit Algorithms with Supervised Learning Guarantees”
JMLR Workshop and Conference Proceedings 15:27-28
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The Neural Autoregressive Distribution Estimator
JMLR Workshop and Conference Proceedings 15:29-37
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Discussion of “The Neural Autoregressive Distribution Estimator”
JMLR Workshop and Conference Proceedings 15:38-39
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Learning Scale Free Networks by Reweighted L1 regularization
JMLR Workshop and Conference Proceedings 15:40-48
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Discussion of “Learning Scale Free Networks by Reweighted L1 regularization”
JMLR Workshop and Conference Proceedings 15:49-50
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Spectral Dimensionality Reduction via Maximum Entropy
JMLR Workshop and Conference Proceedings 15:51-59
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Discussion of “Spectral Dimensionality Reduction via Maximum Entropy”
JMLR Workshop and Conference Proceedings 15:60-62
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A conditional game for comparing approximations
JMLR Workshop and Conference Proceedings 15:63-71
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Discussion of “A conditional game for comparing approximations”
JMLR Workshop and Conference Proceedings 15:72-73
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The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling
JMLR Workshop and Conference Proceedings 15:74-82
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Discussion of “The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling”
JMLR Workshop and Conference Proceedings 15:83-84
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Part II: Regular Papers
Generative Kernels for Exponential Families
JMLR Workshop and Conference Proceedings 15:85-92
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Linear-Time Estimators for Propensity Scores
JMLR Workshop and Conference Proceedings 15:93-100
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Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text
JMLR Workshop and Conference Proceedings 15:101-109
;Polytope samplers for inference in ill-posed inverse problems
JMLR Workshop and Conference Proceedings 15:110-118
;Dynamic Policy Programming with Function Approximation
JMLR Workshop and Conference Proceedings 15:119-127
;Statistical Optimization of Non-Negative Matrix Factorization
JMLR Workshop and Conference Proceedings 15:128-136
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Unsupervised Supervised Learning II: Margin-Based Classification without Labels
JMLR Workshop and Conference Proceedings 15:137-145
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Tighter Relaxations for MAP-MRF Inference: A Local Primal-Dual Gap based Separation Algorithm
JMLR Workshop and Conference Proceedings 15:146-154
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Active Diagnosis under Persistent Noise with Unknown Noise Distribution: A Rank-Based Approach
JMLR Workshop and Conference Proceedings 15:155-163
;Deep Learners Benefit More from Out-of-Distribution Examples
JMLR Workshop and Conference Proceedings 15:164-172
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Domain Adaptation with Coupled Subspaces
JMLR Workshop and Conference Proceedings 15:173-181
;Relative Entropy Inverse Reinforcement Learning
JMLR Workshop and Conference Proceedings 15:182-189
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Switch-Reset Models : Exact and Approximate Inference
JMLR Workshop and Conference Proceedings 15:190-198
;Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models
JMLR Workshop and Conference Proceedings 15:199-207
;Contextual Bandits with Linear Payoff Functions
JMLR Workshop and Conference Proceedings 15:208-214
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An Analysis of Single-Layer Networks in Unsupervised Feature Learning
JMLR Workshop and Conference Proceedings 15:215-223
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Deep Learning for Efficient Discriminative Parsing
JMLR Workshop and Conference Proceedings 15:224-232
;A Spike and Slab Restricted Boltzmann Machine
JMLR Workshop and Conference Proceedings 15:233-241
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Optimal and Robust Price Experimentation: Learning by Lottery
JMLR Workshop and Conference Proceedings 15:242-250
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Bagged Structure Learning of Bayesian Network
JMLR Workshop and Conference Proceedings 15:251-259
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Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities
JMLR Workshop and Conference Proceedings 15:260-268
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A novel greedy algorithm for Nyström approximation
JMLR Workshop and Conference Proceedings 15:269-277
;Revisiting MAP Estimation, Message Passing and Perfect Graphs
JMLR Workshop and Conference Proceedings 15:278-286
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A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks
JMLR Workshop and Conference Proceedings 15:287-295
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Block-sparse Solutions using Kernel Block RIP and its Application to Group Lasso
JMLR Workshop and Conference Proceedings 15:296-304
;Learning from positive and unlabeled examples by enforcing statistical significance
JMLR Workshop and Conference Proceedings 15:305-314
;Deep Sparse Rectifier Neural Networks
JMLR Workshop and Conference Proceedings 15:315-323
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Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees
JMLR Workshop and Conference Proceedings 15:324-332
;Multiscale Community Blockmodel for Network Exploration
JMLR Workshop and Conference Proceedings 15:333-341
;Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks
JMLR Workshop and Conference Proceedings 15:342-350
;Optimal Distributed Market-Based Planning for Multi-Agent Systems with Shared Resources
JMLR Workshop and Conference Proceedings 15:351-360
;Fast b-matching via Sufficient Selection Belief Propagation
JMLR Workshop and Conference Proceedings 15:361-369
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Improved Loss Bounds For Multiple Kernel Learning
JMLR Workshop and Conference Proceedings 15:370-377
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On Learning Discrete Graphical Models using Group-Sparse Regularization
JMLR Workshop and Conference Proceedings 15:378-387
;Convergent Decomposition Solvers for Tree-reweighted Free Energies
JMLR Workshop and Conference Proceedings 15:388-398
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Convex envelopes of complexity controlling penalties: the case against premature envelopment
JMLR Workshop and Conference Proceedings 15:399-406
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On Time Varying Undirected Graphs
JMLR Workshop and Conference Proceedings 15:407-415
;Approximate inference for the loss-calibrated Bayesian
JMLR Workshop and Conference Proceedings 15:416-424
;Robust Bayesian Matrix Factorisation
JMLR Workshop and Conference Proceedings 15:425-433
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Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection
JMLR Workshop and Conference Proceedings 15:434-442
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Bayesian Hierarchical Cross-Clustering
JMLR Workshop and Conference Proceedings 15:443-451
;Group Orthogonal Matching Pursuit for Logistic Regression
JMLR Workshop and Conference Proceedings 15:452-460
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A Fast Algorithm for Recovery of Jointly Sparse Vectors based on the Alternating Direction Methods
JMLR Workshop and Conference Proceedings 15:461-469
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Learning Class-relevant Features and Class-irrelevant Features via a Hybrid third-order RBM
JMLR Workshop and Conference Proceedings 15:470-478
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Hidden-Unit Conditional Random Fields
JMLR Workshop and Conference Proceedings 15:479-488
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Learning mixtures of Gaussians with maximum-a-posteriori oracle
JMLR Workshop and Conference Proceedings 15:489-497
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CAKE: Convex Adaptive Kernel Density Estimation
JMLR Workshop and Conference Proceedings 15:498-506
;Online Learning of Structured Predictors with Multiple Kernels
JMLR Workshop and Conference Proceedings 15:507-515
;Estimating beta-mixing coefficients
JMLR Workshop and Conference Proceedings 15:516-524
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Follow-the-Regularized-Leader and Mirror Descent: Equivalence Theorems and L1 Regularization
JMLR Workshop and Conference Proceedings 15:525-533
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Can matrix coherence be efficiently and accurately estimated?
JMLR Workshop and Conference Proceedings 15:534-542
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TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents
JMLR Workshop and Conference Proceedings 15:543-551
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Dimensionality Reduction for Spectral Clustering
JMLR Workshop and Conference Proceedings 15:552-560
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Maximum Volume Clustering
JMLR Workshop and Conference Proceedings 15:561-569
;Adaptive Bandits: Towards the best history-dependent strategy
JMLR Workshop and Conference Proceedings 15:570-578
;Generative Modeling for Maximizing Precision and Recall in Information Visualization
JMLR Workshop and Conference Proceedings 15:579-587
;Faithfulness in Chain Graphs: The Gaussian Case
JMLR Workshop and Conference Proceedings 15:588-599
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Directional Statistics on Permutations
JMLR Workshop and Conference Proceedings 15:600-608
;On the Estimation of alpha-Divergences
JMLR Workshop and Conference Proceedings 15:609-617
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On NDCG Consistency of Listwise Ranking Methods
JMLR Workshop and Conference Proceedings 15:618-626
;A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
JMLR Workshop and Conference Proceedings 15:627-635
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Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Feedback
JMLR Workshop and Conference Proceedings 15:636-642
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Online Learning of Multiple Tasks and Their Relationships
JMLR Workshop and Conference Proceedings 15:643-651
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Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference
JMLR Workshop and Conference Proceedings 15:652-660
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Spectral Clustering on a Budget
JMLR Workshop and Conference Proceedings 15:661-669
;Mixed Cumulative Distribution Networks
JMLR Workshop and Conference Proceedings 15:670-678
;Asymptotic Theory for Linear-Chain Conditional Random Fields
JMLR Workshop and Conference Proceedings 15:679-687
;Assisting Main Task Learning by Heterogeneous Auxiliary Tasks with Applications to Skin Cancer Screening
JMLR Workshop and Conference Proceedings 15:688-697
;Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities
JMLR Workshop and Conference Proceedings 15:698-706
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Kernel Belief Propagation
JMLR Workshop and Conference Proceedings 15:707-715
;Empirical Risk Minimization of Graphical Model Parameters Given Approximate Inference, Decoding, and Model Structure
JMLR Workshop and Conference Proceedings 15:725-733
;Estimating Probabilities in Recommendation Systems
JMLR Workshop and Conference Proceedings 15:734-742
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Active Boosted Learning (ActBoost)
JMLR Workshop and Conference Proceedings 15:743-751
;Online Variational Inference for the Hierarchical Dirichlet Process
JMLR Workshop and Conference Proceedings 15:752-760
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Information Theoretical Clustering via Semidefinite Programming
JMLR Workshop and Conference Proceedings 15:761-769
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Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation
JMLR Workshop and Conference Proceedings 15:770-778
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Relational Learning with One Network: An Asymptotic Analysis
JMLR Workshop and Conference Proceedings 15:779-788
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Hierarchical Probabilistic Models for Group Anomaly Detection
JMLR Workshop and Conference Proceedings 15:789-797
;Multicore Gibbs Sampling in Dense, Unstructured Graphs
JMLR Workshop and Conference Proceedings 15:798-806
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Cross-Domain Object Matching with Model Selection
JMLR Workshop and Conference Proceedings 15:807-815
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The Sample Complexity of Self-Verifying Bayesian Active Learning
JMLR Workshop and Conference Proceedings 15:816-822
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Bridging the Language Gap: Topic Adaptation for Documents with Different Technicality
JMLR Workshop and Conference Proceedings 15:823-831
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Efficient variable selection in support vector machines via the alternating direction method of multipliers
JMLR Workshop and Conference Proceedings 15:832-840
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A Finite Newton Algorithm for Non-degenerate Piecewise Linear Systems
JMLR Workshop and Conference Proceedings 15:841-854
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An Instantiation-Based Theorem Prover for First-Order Programming
JMLR Workshop and Conference Proceedings 15:855-863
;Generalization Bound for Infinitely Divisible Empirical Process
JMLR Workshop and Conference Proceedings 15:864-872
;Multi-Label Output Codes using Canonical Correlation Analysis
JMLR Workshop and Conference Proceedings 15:873-882
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Dependent Hierarchical Beta Process for Image Interpolation and Denoising
JMLR Workshop and Conference Proceedings 15:883-891
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Semi-supervised Learning by Higher Order Regularization
JMLR Workshop and Conference Proceedings 15:892-900
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Error Analysis of Laplacian Eigenmaps for Semi-supervised Learning
JMLR Workshop and Conference Proceedings 15:901-908
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Two-Layer Multiple Kernel Learning
JMLR Workshop and Conference Proceedings 15:909-917
;[abs][Download PDF]
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