Bayesian & Probabilistic

Learning with Target Prior NeurIPS 2012 Lifted Variable Elimination with Arbitrary Constraints AISTATS 2012 Lightning-speed Structure Learning of Nonlinear Continuous Networks AISTATS 2012 Majorization for CRFs and Latent Likelihoods NeurIPS 2012 MAP Inference in Chains using Column Generation NeurIPS 2012 MCMC for continuous-time discrete-state systems NeurIPS 2012 Memorability of Image Regions NeurIPS 2012 Meta-Gaussian Information Bottleneck NeurIPS 2012 Minimization of Continuous Bethe Approximations: A Positive Variation NeurIPS 2012 Mixability in Statistical Learning NeurIPS 2012 Modelling Reciprocating Relationships with Hawkes Processes NeurIPS 2012 Monte Carlo Methods for Maximum Margin Supervised Topic Models NeurIPS 2012 Multilabel Classification using Bayesian Compressed Sensing NeurIPS 2012 Multiplicative Forests for Continuous-Time Processes NeurIPS 2012 Multiresolution Gaussian Processes NeurIPS 2012 Near-Optimal MAP Inference for Determinantal Point Processes NeurIPS 2012 Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics JMLR 2012 Nonconvex Penalization Using Laplace Exponents and Concave Conjugates NeurIPS 2012 Nonparametric Bayesian Inverse Reinforcement Learning for Multiple Reward Functions NeurIPS 2012 Nonparametric Bayesian Models for Unsupervised Scene Analysis and Reconstruction RSS 2012 Nonparametric Guidance of Autoencoder Representations using Label Information JMLR 2012 Nonparametric Max-Margin Matrix Factorization for Collaborative Prediction NeurIPS 2012 Nonparanormal Belief Propagation (NPNBP) NeurIPS 2012 On Lifting the Gibbs Sampling Algorithm NeurIPS 2012 Online Sum-Product Computation Over Trees NeurIPS 2012