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
; PMLR 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”
; PMLR 15:16-18
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Contextual Bandit Algorithms with Supervised Learning Guarantees
; PMLR 15:19-26
Discussion of “Contextual Bandit Algorithms with Supervised Learning Guarantees”
; PMLR 15:27-28
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Discussion of “The Neural Autoregressive Distribution Estimator”
; PMLR 15:38-39
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Discussion of “Learning Scale Free Networks by Reweighted L1 regularization”
; PMLR 15:49-50
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Discussion of “Spectral Dimensionality Reduction via Maximum Entropy”
; PMLR 15:60-62
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Discussion of “A conditional game for comparing approximations”
; PMLR 15:72-73
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The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling
; PMLR 15:74-82
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Discussion of “The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling”
; PMLR 15:83-84
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Part II: Regular Papers
Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text
; PMLR 15:101-109
Polytope samplers for inference in ill-posed inverse problems
; PMLR 15:110-118
Dynamic Policy Programming with Function Approximation
; PMLR 15:119-127
Statistical Optimization of Non-Negative Matrix Factorization
; PMLR 15:128-136
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Unsupervised Supervised Learning II: Margin-Based Classification without Labels
; PMLR 15:137-145
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Tighter Relaxations for MAP-MRF Inference: A Local Primal-Dual Gap based Separation Algorithm
; PMLR 15:146-154
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Active Diagnosis under Persistent Noise with Unknown Noise Distribution: A Rank-Based Approach
; PMLR 15:155-163
Domain Adaptation with Coupled Subspaces
; PMLR 15:173-181
Switch-Reset Models : Exact and Approximate Inference
; PMLR 15:190-198
Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models
; PMLR 15:199-207
An Analysis of Single-Layer Networks in Unsupervised Feature Learning
; PMLR 15:215-223
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Deep Learning for Efficient Discriminative Parsing
; PMLR 15:224-232
Optimal and Robust Price Experimentation: Learning by Lottery
; PMLR 15:242-250
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Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities
; PMLR 15:260-268
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A novel greedy algorithm for Nyström approximation
; PMLR 15:269-277
Revisiting MAP Estimation, Message Passing and Perfect Graphs
; PMLR 15:278-286
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A Dynamic Relational Infinite Feature Model for Longitudinal Social Networks
; PMLR 15:287-295
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Block-sparse Solutions using Kernel Block RIP and its Application to Group Lasso
; PMLR 15:296-304
Learning from positive and unlabeled examples by enforcing statistical significance
; PMLR 15:305-314
Parallel Gibbs Sampling: From Colored Fields to Thin Junction Trees
; PMLR 15:324-332
Multiscale Community Blockmodel for Network Exploration
; PMLR 15:333-341
Evolving Cluster Mixed-Membership Blockmodel for Time-Evolving Networks
; PMLR 15:342-350
Optimal Distributed Market-Based Planning for Multi-Agent Systems with Shared Resources
; PMLR 15:351-360
On Learning Discrete Graphical Models using Group-Sparse Regularization
; PMLR 15:378-387
Convergent Decomposition Solvers for Tree-reweighted Free Energies
; PMLR 15:388-398
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Convex envelopes of complexity controlling penalties: the case against premature envelopment
; PMLR 15:399-406
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Approximate inference for the loss-calibrated Bayesian
; PMLR 15:416-424
Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection
; PMLR 15:434-442
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Bayesian Hierarchical Cross-Clustering
; PMLR 15:443-451
A Fast Algorithm for Recovery of Jointly Sparse Vectors based on the Alternating Direction Methods
; PMLR 15:461-469
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Learning Class-relevant Features and Class-irrelevant Features via a Hybrid third-order RBM
; PMLR 15:470-478
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Learning mixtures of Gaussians with maximum-a-posteriori oracle
; PMLR 15:489-497
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CAKE: Convex Adaptive Kernel Density Estimation
; PMLR 15:498-506
Online Learning of Structured Predictors with Multiple Kernels
; PMLR 15:507-515
Follow-the-Regularized-Leader and Mirror Descent: Equivalence Theorems and L1 Regularization
; PMLR 15:525-533
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Can matrix coherence be efficiently and accurately estimated?
; PMLR 15:534-542
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TopicFlow Model: Unsupervised Learning of Topic-specific Influences of Hyperlinked Documents
; PMLR 15:543-551
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Adaptive Bandits: Towards the best history-dependent strategy
; PMLR 15:570-578
Generative Modeling for Maximizing Precision and Recall in Information Visualization
; PMLR 15:579-587
Directional Statistics on Permutations
; PMLR 15:600-608
On NDCG Consistency of Listwise Ranking Methods
; PMLR 15:618-626
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
; PMLR 15:627-635
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Improved Regret Guarantees for Online Smooth Convex Optimization with Bandit Feedback
; PMLR 15:636-642
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Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference
; PMLR 15:652-660
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Mixed Cumulative Distribution Networks
; PMLR 15:670-678
Asymptotic Theory for Linear-Chain Conditional Random Fields
; PMLR 15:679-687
Assisting Main Task Learning by Heterogeneous Auxiliary Tasks with Applications to Skin Cancer Screening
; PMLR 15:688-697
Spectral Chinese Restaurant Processes: Nonparametric Clustering Based on Similarities
; PMLR 15:698-706
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Empirical Risk Minimization of Graphical Model Parameters Given Approximate Inference, Decoding, and Model Structure
; PMLR 15:725-733
Online Variational Inference for the Hierarchical Dirichlet Process
; PMLR 15:752-760
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Information Theoretical Clustering via Semidefinite Programming
; PMLR 15:761-769
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Lightweight Implementations of Probabilistic Programming Languages Via Transformational Compilation
; PMLR 15:770-778
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Hierarchical Probabilistic Models for Group Anomaly Detection
; PMLR 15:789-797
The Sample Complexity of Self-Verifying Bayesian Active Learning
; PMLR 15:816-822
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Bridging the Language Gap: Topic Adaptation for Documents with Different Technicality
; PMLR 15:823-831
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Efficient variable selection in support vector machines via the alternating direction method of multipliers
; PMLR 15:832-840
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A Finite Newton Algorithm for Non-degenerate Piecewise Linear Systems
; PMLR 15:841-854
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An Instantiation-Based Theorem Prover for First-Order Programming
; PMLR 15:855-863
Generalization Bound for Infinitely Divisible Empirical Process
; PMLR 15:864-872
Multi-Label Output Codes using Canonical Correlation Analysis
; PMLR 15:873-882
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Dependent Hierarchical Beta Process for Image Interpolation and Denoising
; PMLR 15:883-891
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Error Analysis of Laplacian Eigenmaps for Semi-supervised Learning
; PMLR 15:901-908
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