Bayesian & Probabilistic

Latent feature regression for multivariate count data AISTATS 2015 Latent Trees for Estimating Intensity of Facial Action Units CVPR 2015 Learning Bayesian Networks with Thousands of Variables NeurIPS 2015 Learning Deep Sigmoid Belief Networks with Data Augmentation AISTATS 2015 Learning Large-Scale Poisson DAG Models based on OverDispersion Scoring NeurIPS 2015 Learning spatiotemporal trajectories from manifold-valued longitudinal data NeurIPS 2015 Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels NeurIPS 2015 Learning structured densities via infinite dimensional exponential families NeurIPS 2015 Lifelong Learning with Non-i.i.d. Tasks NeurIPS 2015 Lifted Symmetry Detection and Breaking for MAP Inference NeurIPS 2015 Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes NeurIPS 2015 Local Expectation Gradients for Black Box Variational Inference NeurIPS 2015 Low-Rank Matrix Factorization Under General Mixture Noise Distributions ICCV 2015 Low-Rank Spectral Learning with Weighted Loss Functions AISTATS 2015 Matrix Manifold Optimization for Gaussian Mixtures NeurIPS 2015 Maximum Likelihood Learning With Arbitrary Treewidth via Fast-Mixing Parameter Sets NeurIPS 2015 MCMC for Variationally Sparse Gaussian Processes NeurIPS 2015 MCMC Learning COLT 2015 Measuring Sample Quality with Stein's Method NeurIPS 2015 Message Passing for Collective Graphical Models ICML 2015 Minimum Weight Perfect Matching via Blossom Belief Propagation NeurIPS 2015 Mixing Time Estimation in Reversible Markov Chains from a Single Sample Path NeurIPS 2015 Model Selection for Topic Models via Spectral Decomposition AISTATS 2015 Multi-Feature Max-Margin Hierarchical Bayesian Model for Action Recognition CVPR 2015 Neural Adaptive Sequential Monte Carlo NeurIPS 2015