Provably Efficient Online Hyperparameter Optimization with
Population-Based Bandits

Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits

6 February 2020

Jack Parker-Holder

Stephen J. Roberts

Papers citing "Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits"

14 / 14 papers shown

Title
Dynamic Domain Information Modulation Algorithm for Multi-domain Sentiment Analysis Chunyi Yue Ang Li 24 0 0 10 May 2025
HyperController: A Hyperparameter Controller for Fast and Stable Training of Reinforcement Learning Neural Networks J. Gornet Yiannis Kantaros Bruno Sinopoli 125 0 0 27 Apr 2025
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning Hui Bai Ran Cheng 53 4 0 12 Apr 2024
Improving Reliability of Fine-tuning with Block-wise Optimisation Basel Barakat Qiang Huang 19 1 0 15 Jan 2023
Reinforcement Learning and Bandits for Speech and Language Processing: Tutorial, Review and Outlook Baihan Lin OffRL AI4TS 28 27 0 24 Oct 2022
Bayesian Generational Population-Based Training Xingchen Wan Cong Lu Jack Parker-Holder Philip J. Ball Vu-Linh Nguyen Binxin Ru Michael A. Osborne OffRL 31 15 0 19 Jul 2022
$Distributionally Robust Bayesian Optimization with $\varphi$-divergences$ Distributionally Robust Bayesian Optimization with $\varphi$ -divergences Hisham Husain Vu-Linh Nguyen Anton Van Den Hengel 40 13 0 04 Mar 2022
Theory-inspired Parameter Control Benchmarks for Dynamic Algorithm Configuration André Biedenkapp Nguyen Dang Martin S. Krejca Frank Hutter Carola Doerr 21 8 0 07 Feb 2022
Hyperparameter Tuning for Deep Reinforcement Learning Applications M. Kiran Melis Ozyildirim 32 22 0 26 Jan 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 33 100 0 11 Jan 2022
A survey on multi-objective hyperparameter optimization algorithms for Machine Learning A. Hernández I. Nieuwenhuyse Sebastian Rojas Gonzalez 23 95 0 23 Nov 2021
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning C. Benjamins Theresa Eimer Frederik Schubert André Biedenkapp Bodo Rosenhahn Frank Hutter Marius Lindauer OffRL 41 23 0 05 Oct 2021
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges B. Bischl Martin Binder Michel Lang Tobias Pielok Jakob Richter ... Theresa Ullmann Marc Becker A. Boulesteix Difan Deng Marius Lindauer 79 448 0 13 Jul 2021
Time-Varying Gaussian Process Bandit Optimization Ilija Bogunovic Jonathan Scarlett V. Cevher 66 95 0 25 Jan 2016