Bayesian & Probabilistic

Minimum Uncertainty Gap for Robust Visual Tracking CVPR 2013 Modeling Information Propagation with Survival Theory ICML 2013 Modeling Overlapping Communities with Node Popularities NeurIPS 2013 Multi-class Video Co-segmentation with a Generative Multi-video Model CVPR 2013 Multilinear Dynamical Systems for Tensor Time Series NeurIPS 2013 Multi-Prediction Deep Boltzmann Machines NeurIPS 2013 Multiscale Dictionary Learning for Estimating Conditional Distributions NeurIPS 2013 Multi-Task Bayesian Optimization NeurIPS 2013 Multi-task Sparse Learning with Beta Process Prior for Action Recognition CVPR 2013 Noise-Enhanced Associative Memories NeurIPS 2013 Nonparametric Multi-group Membership Model for Dynamic Networks NeurIPS 2013 ODE parameter inference using adaptive gradient matching with Gaussian processes AISTATS 2013 One-shot learning by inverting a compositional causal process NeurIPS 2013 Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation NeurIPS 2013 Online Variational Approximations to non-Exponential Family Change Point Models: With Application to Radar Tracking NeurIPS 2013 On Poisson Graphical Models NeurIPS 2013 On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations NeurIPS 2013 On the Complexity and Approximation of Binary Evidence in Lifted Inference NeurIPS 2013 On the Representational Efficiency of Restricted Boltzmann Machines NeurIPS 2013 Optimizing Instructional Policies NeurIPS 2013 Parallel Markov Chain Monte Carlo for Nonparametric Mixture Models ICML 2013 Parallel Sampling of DP Mixture Models using Sub-Cluster Splits NeurIPS 2013 Point Based Value Iteration with Optimal Belief Compression for Dec-POMDPs NeurIPS 2013 Principal Component Analysis on non-Gaussian Dependent Data ICML 2013 Prior-free and prior-dependent regret bounds for Thompson Sampling NeurIPS 2013