bayesian inference

Pure Differential Privacy for Functional Summaries with a Laplace-like Process JMLR 2024 PyRater: A Python Toolkit for Annotation Analysis COLING 2024 Q-conjugate Message Passing for Efficient Bayesian Inference PGM 2024 QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models AAAI 2024 Quasi-Bayes meets Vines NeurIPS 2024 RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations ICLR 2024 Reverse Diffusion Monte Carlo ICLR 2024 Riemannian Laplace Approximation with the Fisher Metric AISTATS 2024 Robust and Conjugate Gaussian Process Regression ICML 2024 Robust Approximate Sampling via Stochastic Gradient Barker Dynamics AISTATS 2024 Robust Gaussian Processes via Relevance Pursuit NeurIPS 2024 Root Cause Explanation of Outliers under Noisy Mechanisms AAAI 2024 Safe Exploitative Play with Untrusted Type Beliefs NeurIPS 2024 Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis AAAI 2024 Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs AISTATS 2024 Score Operator Newton transport AISTATS 2024 Scores for Learning Discrete Causal Graphs with Unobserved Confounders AAAI 2024 SEL-BALD: Deep Bayesian Active Learning with Selective Labels NeurIPS 2024 Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity NeurIPS 2024 Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood NeurIPS 2024 Sparse Variational Student-t Processes AAAI 2024 Spatial properties of Bayesian unsupervised trees COLT 2024 Stable Implementation of Probabilistic ODE Solvers JMLR 2024 Stochastic Approximation with Biased MCMC for Expectation Maximization AISTATS 2024 Streaming Bayes GFlowNets NeurIPS 2024