Bayesian Learning

Mixed-Effect Thompson Sampling AISTATS 2023 Model-based Causal Discovery for Zero-Inflated Count Data JMLR 2023 Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes ICML 2023 Multilevel Bayesian Quadrature AISTATS 2023 Nearest Neighbor Dirichlet Mixtures JMLR 2023 Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization NeurIPS 2023 Noise-Adaptive Thompson Sampling for Linear Contextual Bandits NeurIPS 2023 Noise-Aware Statistical Inference with Differentially Private Synthetic Data AISTATS 2023 Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery AISTATS 2023 No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities AISTATS 2023 Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling AAAI 2023 NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge AISTATS 2023 On Building a Semi-Automated Framework for Generating Causal Bayesian Networks from Raw Text IJCAI 2023 On permutation symmetries in Bayesian neural network posteriors: a variational perspective NeurIPS 2023 On the Complexity of Bayesian Generalization ICML 2023 On the Identifiability and Interpretability of Gaussian Process Models NeurIPS 2023 On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making NeurIPS 2023 On the Sublinear Regret of GP-UCB NeurIPS 2023 Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits ICML 2023 Optimally-weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference ICML 2023 Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework NeurIPS 2023 Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach AISTATS 2023 Overcoming Prior Misspecification in Online Learning to Rank AISTATS 2023 Persuading Farsighted Receivers in MDPs: the Power of Honesty NeurIPS 2023 Planning with Hidden Parameter Polynomial MDPs AAAI 2023