Bayesian & Probabilistic

Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations AISTATS 2022 Probabilistic ODE Solutions in Millions of Dimensions ICML 2022 Probabilistic Spherical Discriminant Analysis: An Alternative to PLDA for length-normalized embeddings Interspeech 2022 Probabilistic surrogate networks for simulators with unbounded randomness UAI 2022 Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design NeurIPS 2022 Process Independence Testing in Proximal Graphical Event Models CLeaR 2022 QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning AISTATS 2022 Reconstructing Diffusion Networks from Incomplete Data IJCAI 2022 Recursive autonomy identification-based learning of augmented naive Bayes classifiers PGM 2022 Recursive Monte Carlo and variational inference with auxiliary variables UAI 2022 Regularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic Stability AAAI 2022 Regularized Molecular Conformation Fields NeurIPS 2022 Reinforcement Learning in Presence of Discrete Markovian Context Evolution ICLR 2022 Relational Learning with Variational Bayes ICLR 2022 Relevance for Robust Bayesian Network MAP-Explanations PGM 2022 Rethinking Variational Inference for Probabilistic Programs with Stochastic Support NeurIPS 2022 Riemannian Diffusion Models NeurIPS 2022 Risk bounds for aggregated shallow neural networks using Gaussian priors COLT 2022 RL with KL penalties is better viewed as Bayesian inference EMNLP 2022 Robust Anytime Learning of Markov Decision Processes NeurIPS 2022 Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap AISTATS 2022 Robust Bayesian recourse UAI 2022 Robust Bayesian Regression via Hard Thresholding NeurIPS 2022 Robust Depth Completion with Uncertainty-Driven Loss Functions AAAI 2022 Robust expected information gain for optimal Bayesian experimental design using ambiguity sets UAI 2022