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. 2303.04030
  4. Cited By
PyXAB -- A Python Library for $\mathcal{X}$-Armed Bandit and Online
  Blackbox Optimization Algorithms

PyXAB -- A Python Library for X\mathcal{X}X-Armed Bandit and Online Blackbox Optimization Algorithms

7 March 2023
Wenjie Li
Haoze Li
Jean Honorio
Qifan Song
    GP
ArXiv (abs)PDFHTMLGithub (126★)

Papers citing "PyXAB -- A Python Library for $\mathcal{X}$-Armed Bandit and Online Blackbox Optimization Algorithms"

4 / 4 papers shown
Title
Federated X-Armed Bandit
Federated X-Armed Bandit
Wenjie Li
Qifan Song
Jean Honorio
Guang Lin
FedML
81
4
0
30 May 2022
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization
Lisha Li
Kevin Jamieson
Giulia DeSalvo
Afshin Rostamizadeh
Ameet Talwalkar
229
2,334
0
21 Mar 2016
An Optimal Algorithm for Bandit and Zero-Order Convex Optimization with
  Two-Point Feedback
An Optimal Algorithm for Bandit and Zero-Order Convex Optimization with Two-Point Feedback
Ohad Shamir
62
262
0
31 Jul 2015
Optimal rates for zero-order convex optimization: the power of two
  function evaluations
Optimal rates for zero-order convex optimization: the power of two function evaluations
John C. Duchi
Michael I. Jordan
Martin J. Wainwright
Andre Wibisono
82
489
0
07 Dec 2013
1