Optimization, fast and slow: optimally switching between local and Bayesian optimization

22 May 2018

Papers citing "Optimization, fast and slow: optimally switching between local and Bayesian optimization"

22 / 22 papers shown

Title
Adaptive Replication Strategies in Trust-Region-Based Bayesian Optimization of Stochastic Functions Mickael Binois Jeffrey Larson 122 0 0 29 Apr 2025
Unexpected Improvements to Expected Improvement for Bayesian Optimization Sebastian Ament Sam Daulton David Eriksson Maximilian Balandat E. Bakshy 92 82 0 08 Jan 2025
Stopping Bayesian Optimization with Probabilistic Regret Bounds James T. Wilson 65 4 0 26 Feb 2024
LABCAT: Locally adaptive Bayesian optimization using principal-component-aligned trust regions E. Visser C. E. V. Daalen J. C. Schoeman 79 0 0 19 Nov 2023
HomOpt: A Homotopy-Based Hyperparameter Optimization Method Sophia J. Abraham K. D. G. Maduranga Jeffery Kinnison Zachariah Carmichael Jonathan D. Hauenstein Walter J. Scheirer 50 1 0 07 Aug 2023
Hyper-parameter Tuning for Adversarially Robust Models Pedro Mendes Paolo Romano David Garlan AAML 44 2 0 05 Apr 2023
Local Bayesian optimization via maximizing probability of descent Quan Nguyen Kaiwen Wu Jacob R. Gardner Roman Garnett 80 24 0 21 Oct 2022
Bayesian Optimization with Informative Covariance Afonso Eduardo Michael U. Gutmann 63 3 0 04 Aug 2022
Randomized Maximum Likelihood via High-Dimensional Bayesian Optimization Valentin Breaz Richard D. Wilkinson 62 0 0 17 Apr 2022
Predicting the utility of search spaces for black-box optimization: a simple, budget-aware approach Setareh Ariafar Justin Gilmer Zachary Nado Jasper Snoek Rodolphe Jenatton George E. Dahl 63 2 0 15 Dec 2021
Searching in the Forest for Local Bayesian Optimization Difan Deng Marius Lindauer 40 2 0 10 Nov 2021
Local policy search with Bayesian optimization Sarah Müller Alexander von Rohr Sebastian Trimpe BDL 89 42 0 22 Jun 2021
Automatic Termination for Hyperparameter Optimization Anastasia Makarova Huibin Shen Valerio Perrone Aaron Klein Jean Baptiste Faddoul Andreas Krause Matthias Seeger Cédric Archambeau 65 22 0 16 Apr 2021
Revisiting Bayesian Optimization in the light of the COCO benchmark Rodolphe Le Riche Victor Picheny 86 28 0 30 Mar 2021
TREGO: a Trust-Region Framework for Efficient Global Optimization Youssef Diouane Victor Picheny Rodolophe Le Riche Alexandre Scotto Di Perrotolo 80 36 0 18 Jan 2021
CobBO: Coordinate Backoff Bayesian Optimization with Two-Stage Kernels Jian Tan Niv Nayman Mengchang Wang 29 4 0 13 Jan 2021
Cautious Bayesian Optimization for Efficient and Scalable Policy Search Lukas P. Frohlich Melanie Zeilinger Edgar D. Klenske OffRL 79 13 0 18 Nov 2020
Scalable Global Optimization via Local Bayesian Optimization Samyam Rajbhandari Michael Pearce Jacob R. Gardner Ryan D. Turner Matthias Poloczek 102 474 0 03 Oct 2019
Bayesian Optimization for Iterative Learning Vu-Linh Nguyen Sebastian Schulze Michael A. Osborne BDL 112 33 0 20 Sep 2019
Modulating Surrogates for Bayesian Optimization Erik Bodin Markus Kaiser Ieva Kazlauskaite Zhenwen Dai Neill D. F. Campbell Carl Henrik Ek 30 2 0 26 Jun 2019
Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces Johannes Kirschner Mojmír Mutný N. Hiller R. Ischebeck Andreas Krause 106 149 0 08 Feb 2019
Hyperparameter Learning via Distributional Transfer H. Law P. Zhao Lucian Chan Junzhou Huang Dino Sejdinovic 85 25 0 15 Oct 2018