Bayesian Learning

Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies NeurIPS 2013 A Bayesian Analysis of the Radioactive Releases of Fukushima AISTATS 2012 A Coupled Indian Buffet Process Model for Collaborative Filtering ACML 2012 Analysis of Thompson Sampling for the Multi-armed Bandit Problem COLT 2012 A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views AISTATS 2012 A nonparametric variable clustering model NeurIPS 2012 Augment-and-Conquer Negative Binomial Processes NeurIPS 2012 Bayesian estimation of discrete entropy with mixtures of stick-breaking priors NeurIPS 2012 Bayesian Hierarchical Reinforcement Learning NeurIPS 2012 Bayesian models for Large-scale Hierarchical Classification NeurIPS 2012 Bayesian Nonparametric Modeling of Suicide Attempts NeurIPS 2012 Bayesian nonparametric models for bipartite graphs NeurIPS 2012 Bayesian nonparametric models for ranked data NeurIPS 2012 Bayesian Probabilistic Co-Subspace Addition NeurIPS 2012 Cost-Sensitive Exploration in Bayesian Reinforcement Learning NeurIPS 2012 Coupling Nonparametric Mixtures via Latent Dirichlet Processes NeurIPS 2012 Exchangeability Characterizes Optimality of Sequential Normalized Maximum Likelihood and Bayesian Prediction with Jeffreys Prior AISTATS 2012 From Deformations to Parts: Motion-based Segmentation of 3D Objects NeurIPS 2012 Informative Priors for Markov Blanket Discovery AISTATS 2012 Learning Invariant Representations of Molecules for Atomization Energy Prediction NeurIPS 2012 Learning Latent Variable Models by Pairwise Cluster Comparison ACML 2012 Learning with Target Prior NeurIPS 2012 Multiplicative Forests for Continuous-Time Processes NeurIPS 2012 Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions NeurIPS 2012 Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction NeurIPS 2012