posterior sampling

Prior-dependent analysis of posterior sampling reinforcement learning with function approximation AISTATS 2024 Provable Posterior Sampling with Denoising Oracles via Tilted Transport NeurIPS 2024 Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction NeurIPS 2024 Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent ICML 2024 Robust Approximate Sampling via Stochastic Gradient Barker Dynamics AISTATS 2024 Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity NeurIPS 2024 Solving General Noisy Inverse Problem via Posterior Sampling: A Policy Gradient Viewpoint AISTATS 2024 Spatial meshing for general Bayesian multivariate models JMLR 2024 Stochastic Localization via Iterative Posterior Sampling ICML 2024 Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox NeurIPS 2024 Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry (Extended Abstract) IJCAI 2024 Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy ICLR 2024 Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling IJCAI 2024 Virtual-Event-Based Posterior Sampling and Inference for Neyman-Scott Processes JMLR 2024 Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems ECCV 2024 A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging ICML 2023 A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems NeurIPS 2023 Conditional score-based diffusion models for Bayesian inference in infinite dimensions NeurIPS 2023 Differentially Private Statistical Inference through β-Divergence One Posterior Sampling NeurIPS 2023 Diffusion Posterior Sampling for General Noisy Inverse Problems ICLR 2023 Double Randomized Underdamped Langevin with Dimension-Independent Convergence Guarantee NeurIPS 2023 Efficient Online Decision Tree Learning with Active Feature Acquisition IJCAI 2023 Estimating Uncertainty in PET Image Reconstruction via Deep Posterior Sampling MIDL 2023 GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration ICML 2023 Model-free Posterior Sampling via Learning Rate Randomization NeurIPS 2023