Bayesian Inference

Nonstandard Interpretations of Probabilistic Programs for Efficient Inference NeurIPS 2011 Optimal Reinforcement Learning for Gaussian Systems NeurIPS 2011 Practical Variational Inference for Neural Networks NeurIPS 2011 Predicting response time and error rates in visual search NeurIPS 2011 Probabilistic amplitude and frequency demodulation NeurIPS 2011 Quasi-Newton Methods for Markov Chain Monte Carlo NeurIPS 2011 Query-Aware MCMC NeurIPS 2011 Select and Sample - A Model of Efficient Neural Inference and Learning NeurIPS 2011 Sparse Bayesian Multi-Task Learning NeurIPS 2011 Sparse Estimation with Structured Dictionaries NeurIPS 2011 Testing a Bayesian Measure of Representativeness Using a Large Image Database NeurIPS 2011 The Doubly Correlated Nonparametric Topic Model NeurIPS 2011 The Kernel Beta Process NeurIPS 2011 A Bayesian Approach to Concept Drift NeurIPS 2010 A Bayesian Framework for Figure-Ground Interpretation NeurIPS 2010 An Approximate Inference Approach to Temporal Optimization in Optimal Control NeurIPS 2010 A rational decision making framework for inhibitory control NeurIPS 2010 A Study of Approximate Inference in Probabilistic Relational Models ACML 2010 Bayesian Action-Graph Games NeurIPS 2010 Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations NeurIPS 2010 Construction of Dependent Dirichlet Processes based on Poisson Processes NeurIPS 2010 Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation ACML 2010 Exact learning curves for Gaussian process regression on large random graphs NeurIPS 2010 Extended Bayesian Information Criteria for Gaussian Graphical Models NeurIPS 2010 Focused Belief Propagation for Query-Specific Inference AISTATS 2010