Bayesian Learning

Probabilistic size-and-shape functional mixed models NeurIPS 2024 Provable Posterior Sampling with Denoising Oracles via Tilted Transport NeurIPS 2024 Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture CVPR 2024 QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios EMNLP 2024 Random measure priors in Bayesian recovery from sketches JMLR 2024 Root Cause Explanation of Outliers under Noisy Mechanisms AAAI 2024 Safe Exploitative Play with Untrusted Type Beliefs NeurIPS 2024 Sample Efficient Bayesian Learning of Causal Graphs from Interventions NeurIPS 2024 Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs AISTATS 2024 Score Operator Newton transport AISTATS 2024 Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity NeurIPS 2024 Spatial meshing for general Bayesian multivariate models JMLR 2024 Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces JMLR 2024 Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case JMLR 2024 Stopping Bayesian Optimization with Probabilistic Regret Bounds NeurIPS 2024 Submodular information selection for hypothesis testing with misclassification penalties L4DC 2024 The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection NeurIPS 2024 Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox NeurIPS 2024 Thompson Sampling Itself is Differentially Private AISTATS 2024 Time–Approximation Trade-Offs for Learning Bayesian Networks PGM 2024 Towards safe multi-task Bayesian optimization L4DC 2024 Transfer Learning with Uncertainty Quantification: Random Effect Calibration of Source to Target (RECaST) JMLR 2024 Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions NeurIPS 2024 Uncertainty Matters: Stable Conclusions under Unstable Assessment of Fairness Results AISTATS 2024 Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model AAAI 2024