Bayesian Inference

MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC ICLR 2022 Meta-Learning Hypothesis Spaces for Sequential Decision-making ICML 2022 Metalearning Linear Bandits by Prior Update AISTATS 2022 Meta-Learning Priors for Safe Bayesian Optimization CoRL 2022 Meta Reinforcement Learning with Finite Training Tasks - a Density Estimation Approach NeurIPS 2022 MidasTouch: Monte-Carlo inference over distributions across sliding touch CoRL 2022 Minimax Mixing Time of the Metropolis-Adjusted Langevin Algorithm for Log-Concave Sampling JMLR 2022 Mitigating the Effects of Non-Identifiability on Inference for Bayesian Neural Networks with Latent Variables JMLR 2022 Model-based Lifelong Reinforcement Learning with Bayesian Exploration NeurIPS 2022 Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief NeurIPS 2022 Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity NeurIPS 2022 Modeling Aleatoric Uncertainty for Camouflaged Object Detection WACV 2022 Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field EMNLP 2022 Modeling the Machine Learning Multiverse NeurIPS 2022 Modelling Non-Smooth Signals with Complex Spectral Structure AISTATS 2022 Monte Carlo Tree Descent for Black-Box Optimization NeurIPS 2022 Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization NeurIPS 2022 MoReL: Multi-omics Relational Learning ICLR 2022 More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming JMLR 2022 Movement Penalized Bayesian Optimization with Application to Wind Energy Systems NeurIPS 2022 Multidimensional Belief Quantification for Label-Efficient Meta-Learning CVPR 2022 Multi-fidelity Monte Carlo: a pseudo-marginal approach NeurIPS 2022 Multi-objective Bayesian optimization over high-dimensional search spaces UAI 2022 Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations AISTATS 2022 Multiple Imputation with Neural Network Gaussian Process for High-dimensional Incomplete Data ACML 2022