Bayesian Learning

Tackling covariate shift with node-based Bayesian neural networks ICML 2022 The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human Models ICLR 2022 The Infinite Contextual Graph Markov Model ICML 2022 The Neural Testbed: Evaluating Joint Predictions NeurIPS 2022 Thompson Sampling Achieves Õ(√T) Regret in Linear Quadratic Control COLT 2022 Thompson Sampling Efficiently Learns to Control Diffusion Processes NeurIPS 2022 Thompson Sampling for (Combinatorial) Pure Exploration ICML 2022 Thompson Sampling for Robust Transfer in Multi-Task Bandits ICML 2022 Thompson Sampling with a Mixture Prior AISTATS 2022 Topical Segmentation of Spoken Narratives: A Test Case on Holocaust Survivor Testimonies EMNLP 2022 TopWORDS-Seg: Simultaneous Text Segmentation and Word Discovery for Open-Domain Chinese Texts via Bayesian Inference ACL 2022 Towards Federated Bayesian Network Structure Learning with Continuous Optimization AISTATS 2022 Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation NeurIPS 2022 Tractable Function-Space Variational Inference in Bayesian Neural Networks NeurIPS 2022 Tractable Uncertainty for Structure Learning ICML 2022 Transfer Learning with Gaussian Processes for Bayesian Optimization AISTATS 2022 Transformers Can Do Bayesian Inference ICLR 2022 Transformer Uncertainty Estimation with Hierarchical Stochastic Attention AAAI 2022 Truncated proposals for scalable and hassle-free simulation-based inference NeurIPS 2022 Unlabeled Data Help in Graph-Based Semi-Supervised Learning: A Bayesian Nonparametrics Perspective JMLR 2022 Updating Probability Intervals with Uncertain Inputs IJCAI 2022 Wide Bayesian neural networks have a simple weight posterior: theory and accelerated sampling ICML 2022 Wide Mean-Field Bayesian Neural Networks Ignore the Data AISTATS 2022 A Bayesian Contiguous Partitioning Method for Learning Clustered Latent Variables JMLR 2021 A Bayesian Framework for Information-Theoretic Probing EMNLP 2021