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bayesian learning

185 papers

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bayesian inference (1904) variational inference (2069) uncertainty quantification (1365) markov chain monte carlo (724) probabilistic modeling (851) posterior distribution (259) gaussian process (1198) transfer learning (5442) reinforcement learning (4122) stochastic gradient (296)

Papers

Langevin Dynamics for Adaptive Inverse Reinforcement Learning of Stochastic Gradient Algorithms JMLR 2021
Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts NIPS 2020
Capsule Routing via Variational Bayes AAAI 2020
Variational Inference for Computational Imaging Inverse Problems JMLR 2020
L1-GP: L1 Adaptive Control with Bayesian Learning L4DC 2020
BaKer-Nets: Bayesian Random Kernel Mapping Networks IJCAI 2020
Asynchronous Gibbs Sampling AISTATS 2020
Decentralized Langevin Dynamics for Bayesian Learning NIPS 2020
Bayesian Hierarchical Words Representation Learning ACL 2020
KFNet: Learning Temporal Camera Relocalization Using Kalman Filtering CVPR 2020
Scalable Approximate MCMC Algorithms for the Horseshoe Prior JMLR 2020
Bayesian Attention Modules NIPS 2020
Bayesian Sparsification of Deep C-valued Networks ICML 2020
Bayesian Learning with Adaptive Load Allocation Strategies L4DC 2020
Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics L4DC 2020
Theory-Based Causal Transfer:Integrating Instance-Level Induction and Abstract-Level Structure Learning AAAI 2020
Replica-Exchange Nos\'e-Hoover Dynamics for Bayesian Learning on Large Datasets NIPS 2020
Bayesian Graph Neural Networks with Adaptive Connection Sampling ICML 2020
Correlation Priors for Reinforcement Learning NIPS 2019
Bayesian Optimized 1-Bit CNNs ICCV 2019
Computational Separations between Sampling and Optimization NIPS 2019
Stochastic Proximal Langevin Algorithm: Potential Splitting and Nonasymptotic Rates NIPS 2019
Differentially Private Markov Chain Monte Carlo NIPS 2019
BayesNAS: A Bayesian Approach for Neural Architecture Search ICML 2019
Fast Iterative Combinatorial Auctions via Bayesian Learning AAAI 2019