Bayesian & Probabilistic

Bayesian Covariate-Dependent Gaussian Graphical Models with Varying Structure JMLR 2022 Bayesian Deep Embedding Topic Meta-Learner ICML 2022 Bayesian federated estimation of causal effects from observational data UAI 2022 Bayesian Framework for Gradient Leakage ICLR 2022 Bayesian Invariant Risk Minimization CVPR 2022 Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense ICML 2022 Bayesian Link Prediction with Deep Graph Convolutional Gaussian Processes AISTATS 2022 Bayesian Model Averaging of Chain Event Graphs for Robust Explanatory Modelling PGM 2022 Bayesian Multinomial Logistic Normal Models through Marginally Latent Matrix-T Processes JMLR 2022 Bayesian Nonparametrics for Offline Skill Discovery ICML 2022 Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection CVPR 2022 Bayesian Object Models for Robotic Interaction with Differentiable Probabilistic Programming CoRL 2022 Bayesian Persuasion in Sequential Decision-Making AAAI 2022 Bayesian Pseudo Posterior Mechanism under Asymptotic Differential Privacy JMLR 2022 Bayesian quantile and expectile optimisation UAI 2022 Bayesian Recurrent Units and the Forward-Backward Algorithm Interspeech 2022 Bayesian Risk Markov Decision Processes NeurIPS 2022 Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty NeurIPS 2022 Bayesian structure learning with generative flow networks UAI 2022 Behavior Priors for Efficient Reinforcement Learning JMLR 2022 Being a Bit Frequentist Improves Bayesian Neural Networks AISTATS 2022 Bezier Gaussian Processes for Tall and Wide Data NeurIPS 2022 Bias aware probabilistic Boolean matrix factorization UAI 2022 BiBL: AMR Parsing and Generation with Bidirectional Bayesian Learning COLING 2022 Bi-Level Doubly Variational Learning for Energy-Based Latent Variable Models CVPR 2022