Weighted Gaussian Process Bandits for Non-stationary Environments

v1v2v3v4 (latest)

Weighted Gaussian Process Bandits for Non-stationary Environments

6 July 2021

Abhishek Gupta

ArXiv (abs)PDF HTML

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 Derek Everett Fred Lu Edward Raff Fernando Camacho James Holt 41 0 0 30 May 2025
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 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 Nicklas Werge Abdullah Akgul M. Kandemir 88 0 0 07 Jul 2023
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 86 233 0 07 Jun 2022

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.