Bayesian & Probabilistic

Set-membership Belief State-based Reinforcement Learning for POMDPs ICML 2023 Sharp Bounds for Generalized Causal Sensitivity Analysis NeurIPS 2023 Sharp Calibrated Gaussian Processes NeurIPS 2023 Softened Symbol Grounding for Neuro-symbolic Systems ICLR 2023 Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models NeurIPS 2023 Sparse Bayesian optimization AISTATS 2023 Sparse Spectral Bayesian Permanental Process with Generalized Kernel AISTATS 2023 Spectral Bayesian Uncertainty for Image Super-Resolution CVPR 2023 Speech Intelligibility Assessment of Dysarthric Speech by using Goodness of Pronunciation with Uncertainty Quantification Interspeech 2023 Squared Neural Families: A New Class of Tractable Density Models NeurIPS 2023 Stochastic Approximation Algorithms for Systems of Interacting Particles NeurIPS 2023 Stochastic Tree Ensembles for Estimating Heterogeneous Effects AISTATS 2023 Streaming Factor Trajectory Learning for Temporal Tensor Decomposition NeurIPS 2023 Structure Learning with Adaptive Random Neighborhood Informed MCMC NeurIPS 2023 Surveillance Evasion Through Bayesian Reinforcement Learning AISTATS 2023 Survival Permanental Processes for Survival Analysis with Time-Varying Covariates NeurIPS 2023 Switching Autoregressive Low-rank Tensor Models NeurIPS 2023 SynJax: Structured Probability Distributions for JAX EMNLP 2023 Taking the neural sampling code very seriously: A data-driven approach for evaluating generative models of the visual system NeurIPS 2023 Tangentially Elongated Gaussian Belief Propagation for Event-Based Incremental Optical Flow Estimation CVPR 2023 Tensor Gaussian Process with Contraction for Multi-Channel Imaging Analysis ICML 2023 The Bayesian Learning Rule JMLR 2023 The Bayesian Stability Zoo NeurIPS 2023 The Behavior and Convergence of Local Bayesian Optimization NeurIPS 2023 The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types AAAI 2023