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posterior sampling

152 papers

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PS

Co-occurring keywords

bayesian inference (1907) markov chain monte carlo (725) regret bound (1926) diffusion model (3751) langevin dynamics (128) inverse problem (240) generative model (2892) reinforcement learning (4352) thompson sampling (237) uncertainty quantification (1393)

Papers

Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models NIPS 2023
Posterior Sampling for Deep Reinforcement Learning ICML 2023
Posterior Sampling for Competitive RL: Function Approximation and Partial Observation NIPS 2023
On Sample-Efficient Offline Reinforcement Learning: Data Diversity, Posterior Sampling and Beyond NIPS 2023
Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent NIPS 2023
Differentially Private Statistical Inference through $\beta$-Divergence One Posterior Sampling NIPS 2023
A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging ICML 2023
Thompson Sampling with Less Exploration is Fast and Optimal ICML 2023
Score-Based Diffusion Models as Principled Priors for Inverse Imaging ICCV 2023
Variational Inference for Neyman-Scott Processes AISTATS 2023
Thompson Sampling with Diffusion Generative Prior ICML 2023
A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems NIPS 2023
Model-free Posterior Sampling via Learning Rate Randomization NIPS 2023
Posterior sampling-based online learning for the stochastic shortest path model UAI 2023
Training Chain-of-Thought via Latent-Variable Inference NIPS 2023
Estimating Uncertainty in PET Image Reconstruction via Deep Posterior Sampling MIDL 2023
Double Randomized Underdamped Langevin with Dimension-Independent Convergence Guarantee NIPS 2023
Improving Bayesian Neural Networks by Adversarial Sampling AAAI 2022
Online Learning for Unknown Partially Observable MDPs AISTATS 2022
Score Matched Neural Exponential Families for Likelihood-Free Inference JMLR 2022
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning ICML 2022
Sensing Cox Processes via Posterior Sampling and Positive Bases AISTATS 2022
Langevin Autoencoders for Learning Deep Latent Variable Models NIPS 2022
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games ICML 2022
Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models and Amortized Policy Search ICML 2022