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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

Distribution Calibration for Out-of-Domain Detection with Bayesian Approximation COLING 2022
Infinite SCAN: An Infinite Model of Diachronic Semantic Change EMNLP 2022
Identification of Linear Latent Variable Model with Arbitrary Distribution AAAI 2022
Active Bayesian Causal Inference NIPS 2022
Parameterized Completeness Results for Bayesian Inference PGM 2022
Personalized Federated Learning via Variational Bayesian Inference ICML 2022
A Convergence Theory for SVGD in the Population Limit under Talagrand’s Inequality T1 ICML 2022
Bregman Proximal Langevin Monte Carlo via Bregman-Moreau Envelopes ICML 2022
Aligned Multi-Task Gaussian Process AISTATS 2022
Adjoint-aided inference of Gaussian process driven differential equations NIPS 2022
A Unified View on PAC-Bayes Bounds for Meta-Learning ICML 2022
Bayesian Multinomial Logistic Normal Models through Marginally Latent Matrix-T Processes JMLR 2022
Testing Whether a Learning Procedure is Calibrated JMLR 2022
Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty NIPS 2022
Nonlinear MCMC for Bayesian Machine Learning NIPS 2022
Sketching a Linguistically-Driven Reasoning Dialog Model for Social Talk ACL 2022
Knowledge-Aware Bayesian Deep Topic Model NIPS 2022
Posterior and Computational Uncertainty in Gaussian Processes NIPS 2022
Fast and Robust Rank Aggregation against Model Misspecification JMLR 2022
Fully General Online Imitation Learning JMLR 2022
Robust Anytime Learning of Markov Decision Processes NIPS 2022
Bayesian Risk Markov Decision Processes NIPS 2022
Dynamic Inverse Reinforcement Learning for Characterizing Animal Behavior NIPS 2022
Pick-and-Mix Information Operators for Probabilistic ODE Solvers AISTATS 2022
Bayesian Inference and Partial Identification in Multi-Treatment Causal Inference with Unobserved Confounding AISTATS 2022