Bayesian & Probabilistic

Bayesian inference for low rank spatiotemporal neural receptive fields NeurIPS 2013 Bayesian Mixture Modelling and Inference based Thompson Sampling in Monte-Carlo Tree Search NeurIPS 2013 Bayesian optimization explains human active search NeurIPS 2013 Bayesian Robust Matrix Factorization for Image and Video Processing ICCV 2013 Beta Process Joint Dictionary Learning for Coupled Feature Spaces with Application to Single Image Super-Resolution CVPR 2013 Bethe Bounds and Approximating the Global Optimum AISTATS 2013 BIG & QUIC: Sparse Inverse Covariance Estimation for a Million Variables NeurIPS 2013 Binary to Bushy: Bayesian Hierarchical Clustering with the Beta Coalescent NeurIPS 2013 Category-Independent Object-Level Saliency Detection ICCV 2013 Class-Specific Simplex-Latent Dirichlet Allocation for Image Classification ICCV 2013 Collapsed Variational Bayesian Inference for Hidden Markov Models AISTATS 2013 Complexity Theoretic Lower Bounds for Sparse Principal Component Detection COLT 2013 Computing the M Most Probable Modes of a Graphical Model AISTATS 2013 Computing the Stationary Distribution Locally NeurIPS 2013 Conditional Random Fields via Univariate Exponential Families NeurIPS 2013 Consistency of Robust Kernel Density Estimators COLT 2013 Contrastive Learning Using Spectral Methods NeurIPS 2013 Deep Gaussian Processes AISTATS 2013 Demixing odors - fast inference in olfaction NeurIPS 2013 Designed Measurements for Vector Count Data NeurIPS 2013 Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests NeurIPS 2013 Discrete MRF Inference of Marginal Densities for Non-uniformly Discretized Variable Space CVPR 2013 Documents as multiple overlapping windows into grids of counts NeurIPS 2013 Dual Decomposition for Joint Discrete-Continuous Optimization AISTATS 2013 Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture NeurIPS 2013