Bayesian & Probabilistic

Cocktail Party Processing via Structured Prediction NeurIPS 2012 Collaborative Gaussian Processes for Preference Learning NeurIPS 2012 Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models NeurIPS 2012 Compressive neural representation of sparse, high-dimensional probabilities NeurIPS 2012 Continuous Relaxations for Discrete Hamiltonian Monte Carlo NeurIPS 2012 Cost-Sensitive Exploration in Bayesian Reinforcement Learning NeurIPS 2012 Coupling Nonparametric Mixtures via Latent Dirichlet Processes NeurIPS 2012 Density Propagation and Improved Bounds on the Partition Function NeurIPS 2012 Discriminative Learning of Sum-Product Networks NeurIPS 2012 Distributed Probabilistic Learning for Camera Networks with Missing Data NeurIPS 2012 Dual-Space Analysis of the Sparse Linear Model NeurIPS 2012 Dynamic Pruning of Factor Graphs for Maximum Marginal Prediction NeurIPS 2012 Effective Split-Merge Monte Carlo Methods for Nonparametric Models of Sequential Data NeurIPS 2012 Efficient and direct estimation of a neural subunit model for sensory coding NeurIPS 2012 Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search NeurIPS 2012 Efficient coding provides a direct link between prior and likelihood in perceptual Bayesian inference NeurIPS 2012 Efficient high dimensional maximum entropy modeling via symmetric partition functions NeurIPS 2012 Efficient Sampling from Combinatorial Space via Bridging AISTATS 2012 Entangled Monte Carlo NeurIPS 2012 Entropy Search for Information-Efficient Global Optimization JMLR 2012 EP-GIG Priors and Applications in Bayesian Sparse Learning JMLR 2012 Expectation Propagation in Gaussian Process Dynamical Systems NeurIPS 2012 Exponential Concentration for Mutual Information Estimation with Application to Forests NeurIPS 2012 Factorial LDA: Sparse Multi-Dimensional Text Models NeurIPS 2012 Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression NeurIPS 2012