ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2401.11665
  4. Cited By
Accelerating Approximate Thompson Sampling with Underdamped Langevin
  Monte Carlo

Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo

22 January 2024
Haoyang Zheng
Wei Deng
Christian Moya
Guang Lin
ArXivPDFHTML

Papers citing "Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo"

5 / 5 papers shown
Title
Muti-Fidelity Prediction and Uncertainty Quantification with Laplace Neural Operators for Parametric Partial Differential Equations
Muti-Fidelity Prediction and Uncertainty Quantification with Laplace Neural Operators for Parametric Partial Differential Equations
Haoyang Zheng
Guang Lin
AI4CE
41
0
0
01 Feb 2025
More Efficient Randomized Exploration for Reinforcement Learning via
  Approximate Sampling
More Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling
Haque Ishfaq
Yixin Tan
Yu Yang
Qingfeng Lan
Jianfeng Lu
A. Rupam Mahmood
Doina Precup
Pan Xu
21
4
0
18 Jun 2024
Constrained Exploration via Reflected Replica Exchange Stochastic
  Gradient Langevin Dynamics
Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics
Haoyang Zheng
Hengrong Du
Qi Feng
Wei Deng
Guang Lin
26
4
0
13 May 2024
Epsilon-Greedy Thompson Sampling to Bayesian Optimization
Epsilon-Greedy Thompson Sampling to Bayesian Optimization
Bach Do
Taiwo A. Adebiyi
Ruda Zhang
31
4
0
01 Mar 2024
Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty
  Quantification in Deep Operator Networks
Conformalized-DeepONet: A Distribution-Free Framework for Uncertainty Quantification in Deep Operator Networks
Christian Moya
Amirhossein Mollaali
Zecheng Zhang
Lu Lu
Guang Lin
UQCV
47
17
0
23 Feb 2024
1