Bayesian & Probabilistic

Multi-Task Bayesian Optimization NeurIPS 2013 Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic NeurIPS 2013 Noise-Enhanced Associative Memories NeurIPS 2013 Nonparametric Mixture of Gaussian Processes with Constraints ICML 2013 Nonparametric Multi-group Membership Model for Dynamic Networks NeurIPS 2013 Non-Uniform Camera Shake Removal Using a Spatially-Adaptive Sparse Penalty NeurIPS 2013 One-shot learning by inverting a compositional causal process NeurIPS 2013 On learning parametric-output HMMs ICML 2013 Online Latent Dirichlet Allocation with Infinite Vocabulary ICML 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 Optimal integration of visual speed across different spatiotemporal frequency channels NeurIPS 2013 Optimizing Instructional Policies NeurIPS 2013 PAC-Bayes-Empirical-Bernstein Inequality 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 Perturbative Corrections for Approximate Inference in Gaussian Latent Variable Models JMLR 2013 Policy Shaping: Integrating Human Feedback with Reinforcement Learning NeurIPS 2013 Prior-free and prior-dependent regret bounds for Thompson Sampling NeurIPS 2013 Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms NeurIPS 2013 Projecting Ising Model Parameters for Fast Mixing NeurIPS 2013