AISTATS 2015 Accepted Papers

The full list of 124 papers accepted at AISTATS 2015 (International Conference on Artificial Intelligence and Statistics). Click any title for details, similar papers, and links to the original source. You can also search these papers by meaning, not just keywords.

1. The Loss Surfaces of Multilayer NetworksPoster1,741 citations
2. Scalable Variational Gaussian Process ClassificationPoster823 citations
3. Falling Rule ListsPoster375 citations
4. Tight Regret Bounds for Stochastic Combinatorial Semi-BanditsPoster361 citations
5. Online Optimization : Competing with Dynamic ComparatorsPoster341 citations
6. DART: Dropouts meet Multiple Additive Regression TreesPoster333 citations
7. Trend Filtering on GraphsPoster333 citations
8. Efficient Estimation of Mutual Information for Strongly Dependent VariablesPoster261 citations
9. Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology DependencePoster211 citations
10. A Rate of Convergence for Mixture Proportion Estimation, with Application to Learning from Noisy LabelsPoster206 citations
11. WASP: Scalable Bayes via barycenters of subset posteriorsPoster200 citations
12. Infinite Edge Partition Models for Overlapping Community Detection and Link PredictionPoster183 citations
13. A la Carte – Learning Fast KernelsPoster164 citations
14. Deep Exponential FamiliesPoster163 citations
15. Toward Minimax Off-policy Value EstimationPoster149 citations
16. On Theoretical Properties of Sum-Product NetworksPoster147 citations
17. Learning Deep Sigmoid Belief Networks with Data AugmentationPoster135 citations
18. Stochastic Block Transition Models for Dynamic NetworksPoster125 citations
19. Tensor Factorization via Matrix FactorizationPoster108 citations
20. Two-stage sampled learning theory on distributionsPoster108 citations
21. Back to the Past: Source Identification in Diffusion Networks from Partially Observed CascadesPoster106 citations
22. Averaged Least-Mean-Squares: Bias-Variance Trade-offs and Optimal Sampling DistributionsPoster103 citations
23. Stochastic Structured Variational InferencePoster102 citations
24. Non-Uniform Stochastic Average Gradient Method for Training Conditional Random FieldsPoster101 citations
25. Sequential Kernel Herding: Frank-Wolfe Optimization for Particle FilteringPoster94 citations
26. Inference of Cause and Effect with Unsupervised Inverse RegressionPoster88 citations
27. The Security of Latent Dirichlet AllocationPoster86 citations
28. Sparse Dueling BanditsPoster83 citations
29. Nonparametric Bayesian Factor Analysis for Dynamic Count MatricesPoster80 citations
30. Accurate and conservative estimates of MRF log-likelihood using reverse annealingPoster79 citations
31. Scalable Optimization of Randomized Operational Decisions in Adversarial Classification SettingsPoster78 citations
32. Maximally Informative Hierarchical Representations of High-Dimensional DataPoster77 citations
33. The Bayesian Echo Chamber: Modeling Social Influence via Linguistic AccommodationPoster75 citations
34. Estimating the accuracies of multiple classifiers without labeled dataPoster73 citations
35. Feature Selection for Linear SVM with Provable GuaranteesPoster72 citations
36. A Dirichlet Process Mixture Model for Spherical DataPoster69 citations
37. Efficient Second-Order Gradient Boosting for Conditional Random FieldsPoster61 citations
38. Scalable Nonparametric Multiway Data AnalysisPoster61 citations
39. Near-optimal max-affine estimators for convex regressionPoster58 citations
40. Conditional Restricted Boltzmann Machines for Multi-label Learning with Incomplete LabelsPoster57 citations
41. Reliable and Scalable Variational Inference for the Hierarchical Dirichlet ProcessPoster57 citations
42. Similarity Learning for High-Dimensional Sparse DataPoster57 citations
43. Stochastic Spectral Descent for Restricted Boltzmann MachinesPoster54 citations
44. A Bayes consistent 1-NN classifierPoster53 citations
45. Convex Multi-Task Learning by ClusteringPoster51 citations
46. Learning of Non-Parametric Control Policies with High-Dimensional State FeaturesPoster51 citations
47. Learning from Data with Heterogeneous Noise using SGDPoster48 citations
48. Modelling Policies in MDPs in Reproducing Kernel Hilbert SpacePoster47 citations
49. On the High Dimensional Power of a Linear-Time Two Sample Test under Mean-shift AlternativesPoster46 citations
50. Gamma Processes, Stick-Breaking, and Variational InferencePoster45 citations
51. Max-Margin Zero-Shot Learning for Multi-class ClassificationPoster45 citations
52. Streaming Variational Inference for Bayesian Nonparametric Mixture ModelsPoster45 citations
53. State Space Methods for Efficient Inference in Student-t Process RegressionPoster39 citations
54. Fast Function to Function RegressionPoster38 citations
55. Dimensionality estimation without distancesPoster37 citations
56. Submodular Point Processes with Applications to Machine learningPoster37 citations
57. Spectral Gap Error Bounds for Improving CUR Matrix Decomposition and the Nyström MethodPoster36 citations
58. Low-Rank Spectral Learning with Weighted Loss FunctionsPoster35 citations
59. Minimizing Nonconvex Non-Separable FunctionsPoster34 citations
60. Particle Gibbs for Bayesian Additive Regression TreesPoster33 citations
61. A totally unimodular view of structured sparsityPoster32 citations
62. Sparsistency of \ell_1-Regularized M-EstimatorsPoster32 citations
63. Multi-Manifold Modeling in Non-Euclidean spacesPoster31 citations
64. Efficient Sparse Clustering of High-Dimensional Non-spherical Gaussian MixturesPoster30 citations
65. Particle Gibbs with Ancestor Sampling for Probabilistic ProgramsPoster30 citations
66. Global Multi-armed Bandits with Hölder ContinuityPoster29 citations
67. Robust Cost Sensitive Support Vector MachinePoster29 citations
68. A Topic Modeling Approach to RankingPoster28 citations
69. Calibration of conditional composite likelihood for Bayesian inference on Gibbs random fieldsPoster28 citations
70. Cross-domain recommendation without shared users or items by sharing latent vector distributionsPoster28 citations
71. Direct Density-Derivative Estimation and Its Application in KL-Divergence ApproximationPoster28 citations
72. Preserving Privacy of Continuous High-dimensional Data with Minimax FiltersPoster28 citations
73. Consistent Collective Matrix Completion under Joint Low Rank StructurePoster27 citations
74. Metric recovery from directed unweighted graphsPoster27 citations
75. On Anomaly Ranking and Excess-Mass CurvesPoster25 citations
76. Majorization-Minimization for Manifold EmbeddingPoster24 citations
77. Modeling Skill Acquisition Over Time with Sequence and Topic ModelingPoster24 citations
78. Understanding and Evaluating Sparse Linear Discriminant AnalysisPoster24 citations
79. Learning Where to Sample in Structured PredictionPoster23 citations
80. Sparse Submodular Probabilistic PCAPoster23 citations
81. Active Pointillistic Pattern SearchPoster21 citations
82. Generalized Linear Models for Aggregated DataPoster21 citations
83. Tradeoffs for Space, Time, Data and Risk in Unsupervised LearningPoster21 citations
84. One-bit Compressed Sensing with the k-Support NormPoster19 citations
85. Robust sketching for multiple square-root LASSO problemsPoster19 citations
86. Filtered Search for Submodular Maximization with Controllable Approximation BoundsPoster18 citations
87. Missing at Random in Graphical ModelsPoster18 citations
88. Model Selection for Topic Models via Spectral DecompositionPoster18 citations
89. Gaussian Processes for Bayesian hypothesis tests on regression functionsPoster16 citations
90. Inferring Block Structure of Graphical Models in Exponential FamiliesPoster16 citations
91. Preferential Attachment in Graphs with AffinitiesPoster16 citations
92. Sparse Solutions to Nonnegative Linear Systems and ApplicationsPoster16 citations
93. Efficient Training of Structured SVMs via Soft ConstraintsPoster15 citations
94. On Estimating L_2^2 DivergencePoster15 citations
95. Online Ranking with Top-1 FeedbackPoster15 citations
96. Column Subset Selection with Missing Data via Active SamplingPoster14 citations
97. Learning Efficient Anomaly Detectors from K-NN GraphsPoster14 citations
98. A Consistent Method for Graph Based Anomaly LocalizationPoster13 citations
99. A Spectral Algorithm for Inference in Hidden semi-Markov ModelsPoster13 citations
100. Predictive Inverse Optimal Control for Linear-Quadratic-Gaussian SystemsPoster13 citations
101. Sensor Selection for Crowdsensing Dynamical SystemsPoster13 citations
102. Unifying Local Consistency and MAX SAT Relaxations for Scalable Inference with Rounding GuaranteesPoster13 citations
103. A Simple Homotopy Algorithm for Compressive SensingPoster12 citations
104. Exact Bayesian Learning of Ancestor Relations in Bayesian NetworksPoster10 citations
105. The Log-Shift Penalty for Adaptive Estimation of Multiple Gaussian Graphical ModelsPoster10 citations
106. Exploiting Symmetries to Construct Efficient MCMC Algorithms With an Application to SLAMPoster9 citations
107. Graph Approximation and Clustering on a BudgetPoster9 citations
108. Symmetric Iterative Proportional FittingPoster9 citations
109. A Scalable Algorithm for Structured Kernel Feature SelectionPoster8 citations
110. Bayesian Hierarchical Clustering with Exponential Family: Small-Variance Asymptotics and ReducibilityPoster8 citations
111. Parameter Estimation of Generalized Linear Models without Assuming their Link FunctionPoster8 citations
112. Revisiting the Limits of MAP Inference by MWSS on Perfect GraphsPoster8 citations
113. Predicting Preference Reversals via Gaussian Process Uncertainty AversionPoster7 citations
114. Computational Complexity of Linear Large Margin Classification With Ramp LossPoster6 citations
115. Data modeling with the elliptical gamma distributionPoster6 citations
116. Power-Law Graph CutsPoster6 citations
117. Consensus Message Passing for Layered Graphical ModelsPoster5 citations
118. Implementable confidence sets in high dimensional regressionPoster5 citations
119. On Approximate Non-submodular Minimization via Tree-Structured SupermodularityPoster5 citations
120. Latent feature regression for multivariate count dataPoster4 citations
121. Reactive bandits with attitudePoster2 citations
122. Variance Reduction via Antithetic Markov ChainsPoster2 citations
123. A Greedy Homotopy Method for Regression with Nonconvex ConstraintsPoster1 citations
124. A Sufficient Statistics Construction of Exponential Family Lévy Measure Densities for Nonparametric Conjugate ModelsPoster1 citations

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