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. 1702.06917
  4. Cited By
Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe

Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe

22 February 2017
Quentin Berthet
Vianney Perchet
ArXivPDFHTML

Papers citing "Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe"

5 / 5 papers shown
Title
Sharp Analysis for KL-Regularized Contextual Bandits and RLHF
Sharp Analysis for KL-Regularized Contextual Bandits and RLHF
Heyang Zhao
Chenlu Ye
Quanquan Gu
Tong Zhang
OffRL
57
3
0
07 Nov 2024
SPEED: Experimental Design for Policy Evaluation in Linear
  Heteroscedastic Bandits
SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits
Subhojyoti Mukherjee
Qiaomin Xie
Josiah P. Hanna
R. Nowak
OffRL
45
5
0
29 Jan 2023
Active Model Estimation in Markov Decision Processes
Active Model Estimation in Markov Decision Processes
Jean Tarbouriech
S. Shekhar
Matteo Pirotta
Mohammad Ghavamzadeh
A. Lazaric
8
24
0
06 Mar 2020
Kernel-based methods for bandit convex optimization
Kernel-based methods for bandit convex optimization
Sébastien Bubeck
Ronen Eldan
Y. Lee
76
163
0
11 Jul 2016
Detection of Planted Solutions for Flat Satisfiability Problems
Detection of Planted Solutions for Flat Satisfiability Problems
Quentin Berthet
J. Ellenberg
27
6
0
21 Feb 2015
1