Bayesian & Probabilistic

RL with KL penalties is better viewed as Bayesian inference EMNLP 2022 Robust and Accurate Superquadric Recovery: A Probabilistic Approach CVPR 2022 Sampling Approximately Low-Rank Ising Models: MCMC meets Variational Methods COLT 2022 Sampling from Arbitrary Functions via PSD Models AISTATS 2022 Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent NeurIPS 2022 Sampling with Mirrored Stein Operators ICLR 2022 Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space NeurIPS 2022 Scalable Bayesian Network Structure Learning with Splines PGM 2022 Scalable Deep Gaussian Markov Random Fields for General Graphs ICML 2022 Scalable Gaussian-process regression and variable selection using Vecchia approximations JMLR 2022 Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes ICML 2022 Scalable Sampling for Nonsymmetric Determinantal Point Processes ICLR 2022 Scale Mixtures of Neural Network Gaussian Processes ICLR 2022 Score-Based Diffusion meets Annealed Importance Sampling NeurIPS 2022 Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds NAACL 2022 Self-Consistency of the Fokker Planck Equation COLT 2022 Semiparametric Inference For Causal Effects In Graphical Models With Hidden Variables JMLR 2022 Sensing Cox Processes via Posterior Sampling and Positive Bases AISTATS 2022 Sequential and Parallel Constrained Max-value Entropy Search via Information Lower Bound ICML 2022 Should We Trust This Summary? Bayesian Abstractive Summarization to The Rescue ACL 2022 Simultaneous Missing Value Imputation and Structure Learning with Groups NeurIPS 2022 SIXO: Smoothing Inference with Twisted Objectives NeurIPS 2022 Sliced Wasserstein variational inference ACML 2022 SnAKe: Bayesian Optimization with Pathwise Exploration NeurIPS 2022 Sobolev Norm Learning Rates for Conditional Mean Embeddings AISTATS 2022