Bayesian Learning

Bayesian Switching Interaction Analysis Under Uncertainty AISTATS 2014 Bayes-Optimal Scorers for Bipartite Ranking COLT 2014 Compressive Sensing of Signals from a GMM with Sparse Precision Matrices NeurIPS 2014 Dependent nonparametric trees for dynamic hierarchical clustering NeurIPS 2014 Dual online inference for latent Dirichlet allocation ACML 2014 Efficiency of conformalized ridge regression COLT 2014 Incremental Tree-Based Inference with Dependent Normalized Random Measures AISTATS 2014 Information-based learning by agents in unbounded state spaces NeurIPS 2014 Learning Optimal Bounded Treewidth Bayesian Networks via Maximum Satisfiability AISTATS 2014 Max-Margin Infinite Hidden Markov Models ICML 2014 Pitfalls in the use of Parallel Inference for the Dirichlet Process ICML 2014 Polya-gamma augmentations for factor models ACML 2014 Robust Bayesian Max-Margin Clustering NeurIPS 2014 Robust learning of inhomogeneous PMMs AISTATS 2014 Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors ICML 2014 Spatio-temporal Representations of Uncertainty in Spiking Neural Networks NeurIPS 2014 Spectral Methods for Indian Buffet Process Inference NeurIPS 2014 The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification NeurIPS 2014 The Infinite Mixture of Infinite Gaussian Mixtures NeurIPS 2014 Variational Gaussian Process State-Space Models NeurIPS 2014 Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion NeurIPS 2013 A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables NeurIPS 2013 A simple example of Dirichlet process mixture inconsistency for the number of components NeurIPS 2013 Bayesian Estimation of Latently-grouped Parameters in Undirected Graphical Models NeurIPS 2013 Bayesian Games for Adversarial Regression Problems ICML 2013