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Bayesian Learning

455 directly classified papers

Papers per year

Papers

Streaming Variational Inference for Dirichlet Process Mixtures ACML 2015
Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias ACML 2015
Convergence rate of Bayesian tensor estimator and its minimax optimality ICML 2015
Analysis of Brain States from Multi-Region LFP Time-Series NIPS 2014
Spectral Methods for Indian Buffet Process Inference NIPS 2014
The Infinite Mixture of Infinite Gaussian Mixtures NIPS 2014
Variational Gaussian Process State-Space Models NIPS 2014
Compressive Sensing of Signals from a GMM with Sparse Precision Matrices NIPS 2014
Robust Bayesian Max-Margin Clustering NIPS 2014
Scalable Bayesian Low-Rank Decomposition of Incomplete Multiway Tensors ICML 2014
Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP NIPS 2014
Information-based learning by agents in unbounded state spaces NIPS 2014
The Bayesian Case Model: A Generative Approach for Case-Based Reasoning and Prototype Classification NIPS 2014
Dependent nonparametric trees for dynamic hierarchical clustering NIPS 2014
Polya-gamma augmentations for factor models ACML 2014
Dual online inference for latent Dirichlet allocation ACML 2014
A reversible infinite HMM using normalised random measures ICML 2014
Learning Optimal Bounded Treewidth Bayesian Networks via Maximum Satisfiability AISTATS 2014
Bayesian Switching Interaction Analysis Under Uncertainty AISTATS 2014
Efficiency of conformalized ridge regression COLT 2014
Bayes-Optimal Scorers for Bipartite Ranking COLT 2014
Robust learning of inhomogeneous PMMs AISTATS 2014
Pitfalls in the use of Parallel Inference for the Dirichlet Process ICML 2014
Max-Margin Infinite Hidden Markov Models ICML 2014
Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts ICML 2014