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Bayesian Learning

1663 directly classified papers

Papers per year

Papers

Regularization Guarantees Generalization in Bayesian Reinforcement Learning through Algorithmic Stability AAAI 2022
Robust Bayesian Inference for Simulator-based Models via the MMD Posterior Bootstrap AISTATS 2022
Limited Memory Influence Diagrams for Attribute Statistical Process Control with Variable Sample Sizes PGM 2022
Expectation programming: Adapting probabilistic programming systems to estimate expectations efficiently UAI 2022
Backprop-Free Reinforcement Learning with Active Neural Generative Coding AAAI 2022
Tractable Uncertainty for Structure Learning ICML 2022
Bayesian Persuasion in Sequential Decision-Making AAAI 2022
Accurate and Scalable Gaussian Processes for Fine-Grained Air Quality Inference AAAI 2022
Thompson Sampling for (Combinatorial) Pure Exploration ICML 2022
Nonparametric Factor Trajectory Learning for Dynamic Tensor Decomposition ICML 2022
Streaming Inference for Infinite Feature Models ICML 2022
The Infinite Contextual Graph Markov Model ICML 2022
Predictive variational Bayesian inference as risk-seeking optimization AISTATS 2022
Thompson Sampling for Robust Transfer in Multi-Task Bandits ICML 2022
Generalized Bayesian quadrature with spectral kernels UAI 2022
Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations AISTATS 2022
Transformer Uncertainty Estimation with Hierarchical Stochastic Attention AAAI 2022
Robust expected information gain for optimal Bayesian experimental design using ambiguity sets UAI 2022
Byzantine-tolerant federated Gaussian process regression for streaming data NIPS 2022
VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning JMLR 2021
Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection IJCNLP 2021
Bayesian streaming sparse Tucker decomposition UAI 2021
Asynchronous $ε$-Greedy Bayesian Optimisation UAI 2021
Mixed variable Bayesian optimization with frequency modulated kernels UAI 2021
variational combinatorial sequential monte carlo methods for bayesian phylogenetic inference UAI 2021