variational inference

Optimal Representations for Covariate Shift ICLR 2022 Overlapping Communities and Roles in Networks with Node Attributes: Probabilistic Graphical Modeling, Bayesian Formulation and Variational Inference (Extended Abstract) IJCAI 2022 PAC: Assisted Value Factorization with Counterfactual Predictions in Multi-Agent Reinforcement Learning NeurIPS 2022 PAC-Bayes Information Bottleneck ICLR 2022 Parallel Tempering With a Variational Reference NeurIPS 2022 Pathfinder: Parallel quasi-Newton variational inference JMLR 2022 Path-Gradient Estimators for Continuous Normalizing Flows ICML 2022 Personalized Federated Learning via Variational Bayesian Inference ICML 2022 Personalized Public Policy Analysis in Social Sciences Using Causal-Graphical Normalizing Flows AAAI 2022 Physics Informed Deep Kernel Learning AISTATS 2022 Policy Gradients Incorporating the Future ICLR 2022 Posterior and Computational Uncertainty in Gaussian Processes NeurIPS 2022 Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks NeurIPS 2022 Practical uncertainty quantification for brain tumor segmentation MIDL 2022 Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors NeurIPS 2022 Principal Component Flows ICML 2022 Pulling back information geometry AISTATS 2022 Reconstructing Nonlinear Dynamical Systems from Multi-Modal Time Series ICML 2022 Recurrent Variational Network: A Deep Learning Inverse Problem Solver Applied to the Task of Accelerated MRI Reconstruction CVPR 2022 Recursive Disentanglement Network ICLR 2022 Recursive Monte Carlo and variational inference with auxiliary variables UAI 2022 Reinforcement Learning in Presence of Discrete Markovian Context Evolution ICLR 2022 Relational Learning with Variational Bayes ICLR 2022 RényiCL: Contrastive Representation Learning with Skew Rényi Divergence NeurIPS 2022 Representation Learning for Maximization of MI, Nonlinear ICA and Nonlinear Subspaces with Robust Density Ratio Estimation JMLR 2022