Bayesian & Probabilistic

Density-Difference Estimation NeurIPS 2012 Density Propagation and Improved Bounds on the Partition Function NeurIPS 2012 Discriminative Learning of Sum-Product Networks NeurIPS 2012 Discriminative Mixtures of Sparse Latent Fields for Risk Management AISTATS 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 Exact MAP-MRF Inference using Branch and Bound AISTATS 2012 Efficient Bayes-Adaptive Reinforcement Learning using Sample-Based Search NeurIPS 2012 Efficient Gaussian Process Inference for Short-Scale Spatio-Temporal Modeling AISTATS 2012 Efficient high dimensional maximum entropy modeling via symmetric partition functions NeurIPS 2012 Efficient Sampling for Bipartite Matching Problems NeurIPS 2012 Efficient Sampling from Combinatorial Space via Bridging AISTATS 2012 Entangled Monte Carlo NeurIPS 2012 Exchangeability Characterizes Optimality of Sequential Normalized Maximum Likelihood and Bayesian Prediction with Jeffreys Prior AISTATS 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 Factorized Asymptotic Bayesian Inference for Mixture Modeling AISTATS 2012 Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression NeurIPS 2012 FastEx: Hash Clustering with Exponential Families NeurIPS 2012 Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models AISTATS 2012 Fast Variational Inference in the Conjugate Exponential Family NeurIPS 2012 Fast Variational Mode-Seeking AISTATS 2012