posterior sampling

LD-RPS: Zero-Shot Unified Image Restoration via Latent Diffusion Recurrent Posterior Sampling ICCV 2025 On Consistent Bayesian Inference from Synthetic Data JMLR 2025 On the Convergence of Locally Adaptive and Scalable Diffusion-Based Sampling Methods for Deep Bayesian Neural Network Posteriors AISTATS 2025 Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo ICLR 2025 Pareto Set Identification With Posterior Sampling AISTATS 2025 Poisoning Bayesian Inference via Data Deletion and Replication AISTATS 2025 PostEdit: Posterior Sampling for Efficient Zero-Shot Image Editing ICLR 2025 Repulsive Latent Score Distillation for Solving Inverse Problems ICLR 2025 Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics AISTATS 2025 Sampling from the Random Linear Model via Stochastic Localization Up to the AMP Threshold AISTATS 2025 Spike-and-Slab Posterior Sampling in High Dimensions COLT 2025 Stabilizing Holistic Semantics in Diffusion Bridge for Image Inpainting IJCAI 2025 Underdamped Diffusion Bridges with Applications to Sampling ICLR 2025 Variational Diffusion Posterior Sampling with Midpoint Guidance ICLR 2025 A Bayesian Approach to Data Point Selection NeurIPS 2024 A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent AISTATS 2024 Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo AISTATS 2024 Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling ECCV 2024 Approximating Intersections and Differences Between Linear Statistical Shape Models Using Markov Chain Monte Carlo WACV 2024 A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors ICLR 2024 Bayesian Semi-structured Subspace Inference AISTATS 2024 Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion CVPR 2024 Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module NeurIPS 2024 Diffusion Posterior Sampling is Computationally Intractable ICML 2024 Divide-and-Conquer Posterior Sampling for Denoising Diffusion priors NeurIPS 2024