Bayesian Generational Population-Based Training

Bayesian Generational Population-Based Training

19 July 2022

Xingchen Wan

Jack Parker-Holder

Michael A. Osborne

Papers citing "Bayesian Generational Population-Based Training"

16 / 16 papers shown

Title
Combining Automated Optimisation of Hyperparameters and Reward Shape Julian Dierkes Emma Cramer Holger Hoos Sebastian Trimpe 30 1 0 26 Jun 2024
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning Hui Bai Ran Cheng 45 4 0 12 Apr 2024
High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy Lam Ngo Huong Ha Jeffrey Chan Vu-Linh Nguyen Hongyu Zhang 23 2 0 05 Feb 2024
Shrink-Perturb Improves Architecture Mixing during Population Based Training for Neural Architecture Search A. Chebykin A. Dushatskiy T. Alderliesten Peter A. N. Bosman 34 0 0 28 Jul 2023
AutoML in the Age of Large Language Models: Current Challenges, Future Opportunities and Risks Alexander Tornede Difan Deng Theresa Eimer Joseph Giovanelli Aditya Mohan ... Sarah Segel Daphne Theodorakopoulos Tanja Tornede Henning Wachsmuth Marius Lindauer 28 23 0 13 Jun 2023
Bayesian Optimisation of Functions on Graphs Xingchen Wan Pierre Osselin Henry Kenlay Binxin Ru Michael A. Osborne Xiaowen Dong 24 4 0 08 Jun 2023
Multi-Objective Population Based Training A. Dushatskiy A. Chebykin T. Alderliesten Peter A. N. Bosman 27 2 0 02 Jun 2023
Hyperparameters in Reinforcement Learning and How To Tune Them Theresa Eimer Marius Lindauer Roberta Raileanu OffRL 27 34 0 02 Jun 2023
DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with Population Based Training Aleksei Petrenko Arthur Allshire Gavriel State Ankur Handa Viktor Makoviychuk 32 23 0 20 May 2023
AutoRL Hyperparameter Landscapes Aditya Mohan C. Benjamins Konrad Wienecke A. Dockhorn Marius Lindauer 26 7 0 05 Apr 2023
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization Sam Daulton Xingchen Wan David Eriksson Maximilian Balandat Michael A. Osborne E. Bakshy 22 36 0 18 Oct 2022
$Distributionally Robust Bayesian Optimization with $\varphi$-divergences$ Distributionally Robust Bayesian Optimization with $\varphi$ -divergences Hisham Husain Vu-Linh Nguyen A. Hengel 38 13 0 04 Mar 2022
Replay-Guided Adversarial Environment Design Minqi Jiang Michael Dennis Jack Parker-Holder Jakob N. Foerster Edward Grefenstette Tim Rocktaschel 124 95 0 06 Oct 2021
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization Marius Lindauer Katharina Eggensperger Matthias Feurer André Biedenkapp Difan Deng C. Benjamins Tim Ruhopf René Sass Frank Hutter 85 326 0 20 Sep 2021
Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits Jack Parker-Holder Vu Nguyen Stephen J. Roberts OffRL 67 83 0 06 Feb 2020
Time-Varying Gaussian Process Bandit Optimization Ilija Bogunovic Jonathan Scarlett V. Cevher 63 95 0 25 Jan 2016