conftrace_

posterior sampling

152 papers

Explore in graph

Also known as

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

Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning ICML 2022
Improving Bayesian Neural Networks by Adversarial Sampling AAAI 2022
Denoising Diffusion Restoration Models NIPS 2022
Non-Linear Reinforcement Learning in Large Action Spaces: Structural Conditions and Sample-efficiency of Posterior Sampling COLT 2022
Deep Neyman-Scott Processes AISTATS 2022
An Efficient Sampling Algorithm for Non-smooth Composite Potentials JMLR 2022
POEM: Out-of-Distribution Detection with Posterior Sampling ICML 2022
Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity NIPS 2022
Langevin Autoencoders for Learning Deep Latent Variable Models NIPS 2022
Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees NIPS 2022
Conservative Dual Policy Optimization for Efficient Model-Based Reinforcement Learning NIPS 2022
Pathwise Conditioning of Gaussian Processes JMLR 2021
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference AAAI 2021
Robust Compressed Sensing MRI with Deep Generative Priors NIPS 2021
SNIPS: Solving Noisy Inverse Problems Stochastically NIPS 2021
Black-box density function estimation using recursive partitioning ICML 2021
Instance-Optimal Compressed Sensing via Posterior Sampling ICML 2021
Fairness for Image Generation with Uncertain Sensitive Attributes ICML 2021
Model-based Reinforcement Learning for Continuous Control with Posterior Sampling ICML 2021
Federated stochastic gradient Langevin dynamics UAI 2021
Infinite Time Horizon Safety of Bayesian Neural Networks NIPS 2021
A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning NIPS 2021
Information Directed Sampling for Sparse Linear Bandits NIPS 2021
Efficiently sampling functions from Gaussian process posteriors ICML 2020
Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation NIPS 2020