Bayesian & Probabilistic

Structural equations and divisive normalization for energy-dependent component analysis NeurIPS 2011 t-divergence Based Approximate Inference NeurIPS 2011 Testing a Bayesian Measure of Representativeness Using a Large Image Database NeurIPS 2011 The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling AISTATS 2011 The Doubly Correlated Nonparametric Topic Model NeurIPS 2011 The Kernel Beta Process NeurIPS 2011 Thinning Measurement Models and Questionnaire Design NeurIPS 2011 Two is better than one: distinct roles for familiarity and recollection in retrieving palimpsest memories NeurIPS 2011 Unifying Non-Maximum Likelihood Learning Objectives with Minimum KL Contraction NeurIPS 2011 Variational Gaussian Process Dynamical Systems NeurIPS 2011 Variational Learning for Recurrent Spiking Networks NeurIPS 2011 Active Instance Sampling via Matrix Partition NeurIPS 2010 A Discriminative Latent Model of Image Region and Object Tag Correspondence NeurIPS 2010 A generalization of the Multiple-try Metropolis algorithm for Bayesian estimation and model selection AISTATS 2010 An Alternative Prior Process for Nonparametric Bayesian Clustering AISTATS 2010 An Approximate Inference Approach to Temporal Optimization in Optimal Control NeurIPS 2010 An EM Algorithm on BDDs with Order Encoding for Logic-based Probabilistic Models ACML 2010 A New Probabilistic Model for Rank Aggregation NeurIPS 2010 A novel family of non-parametric cumulative based divergences for point processes NeurIPS 2010 Approximate Inference by Compilation to Arithmetic Circuits NeurIPS 2010 Approximate inference in continuous time Gaussian-Jump processes NeurIPS 2010 Approximate parameter inference in a stochastic reaction-diffusion model AISTATS 2010 Approximation of hidden Markov models by mixtures of experts with application to particle filtering AISTATS 2010 A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction NeurIPS 2010 A Study of Approximate Inference in Probabilistic Relational Models ACML 2010