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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

Estimating Causal Effects under Network Interference with Bayesian Generalized Propensity Scores JMLR 2022
From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses ICML 2022
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule CVPR 2022
Dynamic Inverse Reinforcement Learning for Characterizing Animal Behavior NIPS 2022
Offline RL Policies Should Be Trained to be Adaptive ICML 2022
Fully General Online Imitation Learning JMLR 2022
Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network AAAI 2022
Learning Bayesian Sparse Networks With Full Experience Replay for Continual Learning CVPR 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
Multistate analysis with infinite mixtures of Markov chains UAI 2022
Meta Reinforcement Learning with Finite Training Tasks - a Density Estimation Approach NIPS 2022
Knowledge Distillation via Constrained Variational Inference AAAI 2022
Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination NIPS 2022
Bayesian Recurrent Units and the Forward-Backward Algorithm INTERSPEECH 2022
A Sparsity-promoting Dictionary Model for Variational Autoencoders INTERSPEECH 2022
Public Signaling in Bayesian Ad Auctions IJCAI 2022
Marginal MAP estimation for inverse RL under occlusion with observer noise UAI 2022
Uncertainty Modeling in Generative Compressed Sensing ICML 2022
Low-Precision Stochastic Gradient Langevin Dynamics ICML 2022
Feature Space Particle Inference for Neural Network Ensembles ICML 2022
RL with KL penalties is better viewed as Bayesian inference EMNLP 2022
Easy Variational Inference for Categorical Models via an Independent Binary Approximation ICML 2022
Scalable Deep Gaussian Markov Random Fields for General Graphs ICML 2022
Infinite SCAN: An Infinite Model of Diachronic Semantic Change EMNLP 2022