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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

State and parameter learning with PARIS particle Gibbs ICML 2023
Progressive Bayesian Inference for Scribble-Supervised Semantic Segmentation AAAI 2023
Learning Logical Reasoning Using an Intelligent Tutoring System: A Hybrid Approach to Student Modeling AAAI 2023
Model-Based Offline Weighted Policy Optimization (Student Abstract) AAAI 2023
Multiply Robust Off-policy Evaluation and Learning under Truncation by Death ICML 2023
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation ICML 2023
Cosmic Microwave Background Recovery: A Graph-Based Bayesian Convolutional Network Approach AAAI 2023
Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models ICML 2023
Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning ICML 2023
Online Restless Bandits with Unobserved States ICML 2023
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice JMLR 2023
A Unified Recipe for Deriving (Time-Uniform) PAC-Bayes Bounds JMLR 2023
Thompson Sampling for High-Dimensional Sparse Linear Contextual Bandits ICML 2023
Fast Expectation Propagation for Heteroscedastic, Lasso-Penalized, and Quantile Regression JMLR 2023
Posterior sampling-based online learning for the stochastic shortest path model UAI 2023
Optimistic Thompson Sampling-based algorithms for episodic reinforcement learning UAI 2023
Establishing Markov equivalence in cyclic directed graphs UAI 2023
Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation CVPR 2023
Microcanonical Hamiltonian Monte Carlo JMLR 2023
Erratum: Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm JMLR 2023
The Bayesian Learning Rule JMLR 2023
A Large-Scale Study of Probabilistic Calibration in Neural Network Regression ICML 2023
Folded Hamiltonian Monte Carlo for Bayesian Generative Adversarial Networks ACML 2023
Scalable high-dimensional Bayesian varying coefficient models with unknown within-subject covariance JMLR 2023
Unbiased Multilevel Monte Carlo Methods for Intractable Distributions: MLMC Meets MCMC JMLR 2023