Bayesian & Probabilistic

Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm COLT 2021 Optimal Order Simple Regret for Gaussian Process Bandits NeurIPS 2021 Optimal Thompson Sampling strategies for support-aware CVaR bandits ICML 2021 Optimized auxiliary particle filters: adapting mixture proposals via convex optimization UAI 2021 Ordinal Historical Dependence in Graphical Event Models with Tree Representations AAAI 2021 Orientation Probabilistic Movement Primitives on Riemannian Manifolds CoRL 2021 Outlier-Robust Learning of Ising Models Under Dobrushin’s Condition COLT 2021 Out of a Hundred Trials, How Many Errors Does Your Speaker Verifier Make? Interspeech 2021 Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces CVPR 2021 Overcoming Catastrophic Forgetting by Bayesian Generative Regularization ICML 2021 PAC-Bayes, MAC-Bayes and Conditional Mutual Information: Fast rate bounds that handle general VC classes COLT 2021 Parallel tempering on optimized paths ICML 2021 Partially Observed Exchangeable Modeling ICML 2021 Particle-Gibbs Sampling for Bayesian Feature Allocation Models JMLR 2021 Partition Function Estimation: A Quantitative Study IJCAI 2021 Pathwise Conditioning of Gaussian Processes JMLR 2021 PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming AISTATS 2021 Periodic Activation Functions Induce Stationarity NeurIPS 2021 Perturb-and-max-product: Sampling and learning in discrete energy-based models NeurIPS 2021 PHASE: PHysically-grounded Abstract Social Events for Machine Social Perception AAAI 2021 PixelPyramids: Exact Inference Models From Lossless Image Pyramids ICCV 2021 Point Processes for Competing Observations with Recurrent Networks (POPCORN): A Generative Model of EHR Data MLHC 2021 Poisson-Randomised DirBN: Large Mutation is Needed in Dirichlet Belief Networks ICML 2021 Policy Gradient Bayesian Robust Optimization for Imitation Learning ICML 2021 Posterior Meta-Replay for Continual Learning NeurIPS 2021