Thompson Sampling with Diffusion Generative Prior

12 January 2023

Papers citing "Thompson Sampling with Diffusion Generative Prior"

8 / 8 papers shown

Title
Online Network Source Optimization with Graph-Kernel MAB Laura Toni P. Frossard 19 1 0 07 Jul 2023
Convergence of score-based generative modeling for general data distributions Holden Lee Jianfeng Lu Yixin Tan DiffM 177 128 0 26 Sep 2022
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions Sitan Chen Sinho Chewi Jungshian Li Yuanzhi Li Adil Salim Anru R. Zhang DiffM 123 245 0 22 Sep 2022
Planning with Diffusion for Flexible Behavior Synthesis Michael Janner Yilun Du J. Tenenbaum Sergey Levine DiffM 202 622 0 20 May 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 204 774 0 27 Jan 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero F. I. F. Richard Yu Radu Timofte Luc Van Gool DiffM 211 1,353 0 24 Jan 2022
No Regrets for Learning the Prior in Bandits Soumya Basu B. Kveton Manzil Zaheer Csaba Szepesvári 41 33 0 13 Jul 2021
Metalearning Linear Bandits by Prior Update Amit Peleg Naama Pearl Ron Meir 32 18 0 12 Jul 2021