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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Self-Aware Personalized Federated Learning NIPS 2022
Langevin Monte Carlo for Contextual Bandits ICML 2022
Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference AISTATS 2022
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap AISTATS 2022
Low-Precision Stochastic Gradient Langevin Dynamics ICML 2022
Feature Space Particle Inference for Neural Network Ensembles ICML 2022
A Langevin-like Sampler for Discrete Distributions ICML 2022
Conditionally Gaussian PAC-Bayes AISTATS 2022
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders ICML 2022
From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses ICML 2022
A General Recipe for Likelihood-free Bayesian Optimization ICML 2022
Bayesian Inference and Partial Identification in Multi-Treatment Causal Inference with Unobserved Confounding AISTATS 2022
Nonparametric Sparse Tensor Factorization with Hierarchical Gamma Processes ICML 2022
A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward Machines ICML 2022
Streaming Inference for Infinite Feature Models ICML 2022
Hierarchical Bayesian Bandits AISTATS 2022
LSB: Local Self-Balancing MCMC in Discrete Spaces ICML 2022
Tractable Uncertainty for Structure Learning ICML 2022
Inference and Learning with Model Uncertainty in Probabilistic Logic Programs AAAI 2022
Sensing Cox Processes via Posterior Sampling and Positive Bases AISTATS 2022
A Convergence Theory for SVGD in the Population Limit under Talagrand’s Inequality T1 ICML 2022
Knowledge Distillation via Constrained Variational Inference AAAI 2022
Function-space Inference with Sparse Implicit Processes ICML 2022
Importance Weighted Kernel Bayes’ Rule ICML 2022
Bayesian Multinomial Logistic Normal Models through Marginally Latent Matrix-T Processes JMLR 2022