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bayesian inference

1904 papers

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Also known as

MCMC MBR BI BVMM MAP

Co-occurring keywords

variational inference (2069) markov chain monte carlo (724) gaussian process (1198) probabilistic modeling (851) uncertainty quantification (1365) posterior distribution (259) bayesian learning (185) gibbs sampling (201) graphical model (863) probabilistic model (476)

Papers

Expectation programming: Adapting probabilistic programming systems to estimate expectations efficiently UAI 2022
Nonlinear MCMC for Bayesian Machine Learning NIPS 2022
Robust Anytime Learning of Markov Decision Processes NIPS 2022
Dynamic Inverse Reinforcement Learning for Characterizing Animal Behavior NIPS 2022
Empirical Bayesian Approaches for Robust Constraint-based Causal Discovery under Insufficient Data IJCAI 2022
Non-Cheating Teaching Revisited: A New Probabilistic Machine Teaching Model IJCAI 2022
Limited Memory Influence Diagrams for Attribute Statistical Process Control with Variable Sample Sizes PGM 2022
RL with KL penalties is better viewed as Bayesian inference EMNLP 2022
Infinite SCAN: An Infinite Model of Diachronic Semantic Change EMNLP 2022
Public Signaling in Bayesian Ad Auctions IJCAI 2022
Society of Agents: Regret Bounds of Concurrent Thompson Sampling NIPS 2022
Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees NIPS 2022
Meta Reinforcement Learning with Finite Training Tasks - a Density Estimation Approach NIPS 2022
Bayesian Risk Markov Decision Processes NIPS 2022
Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty NIPS 2022
A Hierarchical Bayesian Approach to Inverse Reinforcement Learning with Symbolic Reward Machines ICML 2022
From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses ICML 2022
A Class of Conjugate Priors for Multinomial Probit Models which Includes the Multivariate Normal One JMLR 2022
Offline RL Policies Should Be Trained to be Adaptive ICML 2022
Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network AAAI 2022
The AIM and EM Algorithms for Learning from Coarse Data JMLR 2022
Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference AISTATS 2022
Semi-Supervised Imitation Learning of Team Policies from Suboptimal Demonstrations IJCAI 2022
Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations AISTATS 2022
Marginal MAP estimation for inverse RL under occlusion with observer noise UAI 2022