Bayesian & Probabilistic

What Are the Invariant Occlusive Components of Image Patches? A Probabilistic Generative Approach NeurIPS 2013 What do row and column marginals reveal about your dataset? NeurIPS 2013 When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity NeurIPS 2013 Σ-Optimality for Active Learning on Gaussian Random Fields NeurIPS 2013 A Bayesian Analysis of the Radioactive Releases of Fukushima AISTATS 2012 A Better Way to Pretrain Deep Boltzmann Machines NeurIPS 2012 A Case Study on Meta-Generalising: A Gaussian Processes Approach JMLR 2012 A Composite Likelihood View for Multi-Label Classification AISTATS 2012 A Conditional Multinomial Mixture Model for Superset Label Learning NeurIPS 2012 A Coupled Indian Buffet Process Model for Collaborative Filtering ACML 2012 Adaptive Metropolis with Online Relabeling AISTATS 2012 A Divide-and-Conquer Method for Sparse Inverse Covariance Estimation NeurIPS 2012 Affine Independent Variational Inference NeurIPS 2012 Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks AISTATS 2012 A Marginalized Particle Gaussian Process Regression NeurIPS 2012 A Method of Moments for Mixture Models and Hidden Markov Models COLT 2012 Analysis of Thompson Sampling for the Multi-armed Bandit Problem COLT 2012 Ancestor Sampling for Particle Gibbs NeurIPS 2012 A Nonparametric Bayesian Model for Multiple Clustering with Overlapping Feature Views AISTATS 2012 A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function NeurIPS 2012 A nonparametric variable clustering model NeurIPS 2012 A P300 BCI for the Masses: Prior Information Enables Instant Unsupervised Spelling NeurIPS 2012 Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning NeurIPS 2012 A Spectral Algorithm for Latent Dirichlet Allocation NeurIPS 2012 Assessing Blinding in Clinical Trials NeurIPS 2012