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. 1601.06650
  4. Cited By
Time-Varying Gaussian Process Bandit Optimization

Time-Varying Gaussian Process Bandit Optimization

25 January 2016
Ilija Bogunovic
Jonathan Scarlett
V. Cevher
ArXivPDFHTML

Papers citing "Time-Varying Gaussian Process Bandit Optimization"

15 / 15 papers shown
Title
HyperController: A Hyperparameter Controller for Fast and Stable Training of Reinforcement Learning Neural Networks
HyperController: A Hyperparameter Controller for Fast and Stable Training of Reinforcement Learning Neural Networks
J. Gornet
Yiannis Kantaros
Bruno Sinopoli
107
0
0
27 Apr 2025
Distributed Coverage Control for Time-Varying Spatial Processes
Distributed Coverage Control for Time-Varying Spatial Processes
Federico Pratissoli
Mattia Mantovani
Amanda Prorok
Lorenzo Sabattini
59
0
0
11 Feb 2025
Lower Bounds for Time-Varying Kernelized Bandits
Lower Bounds for Time-Varying Kernelized Bandits
Xu Cai
Jonathan Scarlett
36
0
0
22 Oct 2024
BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation
  in Cross-Silo Federated Learning
BARA: Efficient Incentive Mechanism with Online Reward Budget Allocation in Cross-Silo Federated Learning
Yunchao Yang
Yipeng Zhou
Miao Hu
Di Wu
Quan.Z Sheng
FedML
16
6
0
09 May 2023
Non-Stationary Bandits with Auto-Regressive Temporal Dependency
Non-Stationary Bandits with Auto-Regressive Temporal Dependency
Qinyi Chen
Negin Golrezaei
Djallel Bouneffouf
AI4TS
25
11
0
28 Oct 2022
Bayesian Generational Population-Based Training
Bayesian Generational Population-Based Training
Xingchen Wan
Cong Lu
Jack Parker-Holder
Philip J. Ball
Vu-Linh Nguyen
Binxin Ru
Michael A. Osborne
OffRL
28
15
0
19 Jul 2022
Recent Advances in Bayesian Optimization
Recent Advances in Bayesian Optimization
Xilu Wang
Yaochu Jin
Sebastian Schmitt
Markus Olhofer
38
198
0
07 Jun 2022
Non-Stationary Bandit Learning via Predictive Sampling
Non-Stationary Bandit Learning via Predictive Sampling
Yueyang Liu
Kuang Xu
Benjamin Van Roy
14
19
0
04 May 2022
Lookahead Acquisition Functions for Finite-Horizon Time-Dependent
  Bayesian Optimization and Application to Quantum Optimal Control
Lookahead Acquisition Functions for Finite-Horizon Time-Dependent Bayesian Optimization and Application to Quantum Optimal Control
Sudharshan Ashwin Renganathan
Jeffrey Larson
Stefan M. Wild
13
7
0
20 May 2021
IntelligentPooling: Practical Thompson Sampling for mHealth
IntelligentPooling: Practical Thompson Sampling for mHealth
Sabina Tomkins
Peng Liao
P. Klasnja
S. Murphy
32
30
0
31 Jul 2020
Corruption-Tolerant Gaussian Process Bandit Optimization
Corruption-Tolerant Gaussian Process Bandit Optimization
Ilija Bogunovic
Andreas Krause
Jonathan Scarlett
28
51
0
04 Mar 2020
Rapidly Personalizing Mobile Health Treatment Policies with Limited Data
Rapidly Personalizing Mobile Health Treatment Policies with Limited Data
Sabina Tomkins
Peng Liao
P. Klasnja
Serena Yeung
S. Murphy
33
6
0
23 Feb 2020
Tight Regret Bounds for Bayesian Optimization in One Dimension
Tight Regret Bounds for Bayesian Optimization in One Dimension
Jonathan Scarlett
38
27
0
30 May 2018
Bayesian Optimization for Dynamic Problems
Bayesian Optimization for Dynamic Problems
Favour Nyikosa
Michael A. Osborne
Stephen J. Roberts
26
40
0
09 Mar 2018
On Kernelized Multi-armed Bandits
On Kernelized Multi-armed Bandits
Sayak Ray Chowdhury
Aditya Gopalan
17
444
0
03 Apr 2017
1