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Weighted Gaussian Process Bandits for Non-stationary Environments
v1v2v3v4 (latest)

Weighted Gaussian Process Bandits for Non-stationary Environments

6 July 2021
Yuntian Deng
Xingyu Zhou
Baekjin Kim
Ambuj Tewari
Abhishek Gupta
Ness B. Shroff
ArXiv (abs)PDFHTML

Papers citing "Weighted Gaussian Process Bandits for Non-stationary Environments"

5 / 5 papers shown
Title
Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms
Quick-Draw Bandits: Quickly Optimizing in Nonstationary Environments with Extremely Many Arms
Derek Everett
Fred Lu
Edward Raff
Fernando Camacho
James Holt
43
0
0
30 May 2025
Lower Bounds for Time-Varying Kernelized Bandits
Lower Bounds for Time-Varying Kernelized Bandits
Xu Cai
Jonathan Scarlett
87
1
0
22 Oct 2024
uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs
uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs
Yu Chen
Jiatai Huang
Yan Dai
Longbo Huang
178
4
0
04 Oct 2024
BOF-UCB: A Bayesian-Optimistic Frequentist Algorithm for Non-Stationary
  Contextual Bandits
BOF-UCB: A Bayesian-Optimistic Frequentist Algorithm for Non-Stationary Contextual Bandits
Nicklas Werge
Abdullah Akgul
M. Kandemir
88
0
0
07 Jul 2023
Recent Advances in Bayesian Optimization
Recent Advances in Bayesian Optimization
Xilu Wang
Yaochu Jin
Sebastian Schmitt
Markus Olhofer
88
233
0
07 Jun 2022
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