Multi-Information Source Optimization

1 March 2016

Papers citing "Multi-Information Source Optimization"

50 / 103 papers shown

Title
OpenBox: A Generalized Black-box Optimization Service Yang Li Yu Shen Wentao Zhang Yuan-Wei Chen Huaijun Jiang ... Jinyang Gao Wentao Wu Zhi-Xin Yang Ce Zhang Bin Cui 11 76 0 01 Jun 2021
Bayesian Optimisation for Constrained Problems Juan Ungredda Juergen Branke 21 13 0 27 May 2021
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020 Ryan Turner David Eriksson M. McCourt J. Kiili Eero Laaksonen Zhen Xu Isabelle M Guyon BDL 24 289 0 20 Apr 2021
Problem-fluent models for complex decision-making in autonomous materials research Soojung Baek Kristofer G. Reyes AI4CE 13 2 0 13 Mar 2021
MISO-wiLDCosts: Multi Information Source Optimization with Location Dependent Costs Antonio Candelieri F. Archetti 16 2 0 09 Feb 2021
Warm Starting CMA-ES for Hyperparameter Optimization Masahiro Nomura Shuhei Watanabe Youhei Akimoto Yoshihiko Ozaki Masaki Onishi 19 40 0 13 Dec 2020
Efficient Automatic CASH via Rising Bandits Yang Li Jiawei Jiang Jinyang Gao Yingxia Shao Ce Zhang Bin Cui 14 33 0 08 Dec 2020
MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements Yang Li Yu Shen Jiawei Jiang Jinyang Gao Ce Zhang Bin Cui 11 26 0 05 Dec 2020
Deep Multi-Fidelity Active Learning of High-dimensional Outputs Shibo Li Robert M. Kirby Shandian Zhe AI4CE 15 28 0 02 Dec 2020
Pareto-efficient Acquisition Functions for Cost-Aware Bayesian Optimization Gauthier Guinet Valerio Perrone Cédric Archambeau 16 14 0 23 Nov 2020
Federated Bayesian Optimization via Thompson Sampling Zhongxiang Dai K. H. Low Patrick Jaillet FedML 89 109 0 20 Oct 2020
Quantity vs. Quality: On Hyperparameter Optimization for Deep Reinforcement Learning L. Hertel Pierre Baldi D. Gillen BDL 15 12 0 29 Jul 2020
Sequential design of multi-fidelity computer experiments: maximizing the rate of stepwise uncertainty reduction Rémi Stroh Julien Bect S. Demeyer N. Fischer Damien Marquis E. Vázquez 14 13 0 27 Jul 2020
Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning Matthias Feurer Katharina Eggensperger Stefan Falkner Marius Lindauer Frank Hutter 35 266 0 08 Jul 2020
Learning excursion sets of vector-valued Gaussian random fields for autonomous ocean sampling T. Fossum Cédric Travelletti J. Eidsvik D. Ginsbourger K. Rajan 9 18 0 07 Jul 2020
Multi-Fidelity Bayesian Optimization via Deep Neural Networks Shibo Li Wei W. Xing Mike Kirby Shandian Zhe 10 53 0 06 Jul 2020
BOSH: Bayesian Optimization by Sampling Hierarchically Henry B. Moss David S. Leslie Paul Rayson 6 8 0 02 Jul 2020
Green Machine Learning via Augmented Gaussian Processes and Multi-Information Source Optimization Antonio Candelieri R. Perego F. Archetti 17 16 0 25 Jun 2020
MUMBO: MUlti-task Max-value Bayesian Optimization Henry B. Moss David S. Leslie Paul Rayson 13 33 0 22 Jun 2020
Efficient Hyperparameter Optimization under Multi-Source Covariate Shift Masahiro Nomura Yuta Saito 6 9 0 18 Jun 2020
Bayesian optimization for modular black-box systems with switching costs Chi-Heng Lin Joseph D. Miano Eva L. Dyer 6 5 0 04 Jun 2020
Model-based Asynchronous Hyperparameter and Neural Architecture Search Aaron Klein Louis C. Tiao Thibaut Lienart Cédric Archambeau Matthias Seeger 18 5 0 24 Mar 2020
Cost-aware Bayesian Optimization E. Lee Valerio Perrone Cédric Archambeau Matthias Seeger 11 56 0 22 Mar 2020
Adaptive Batching for Gaussian Process Surrogates with Application in Noisy Level Set Estimation Xiong Lyu M. Ludkovski 25 4 0 19 Mar 2020
Practical Bayesian Optimization of Objectives with Conditioning Variables Michael Pearce Janis Klaise Matthew J. Groves 18 1 0 23 Feb 2020
Why Non-myopic Bayesian Optimization is Promising and How Far Should We Look-ahead? A Study via Rollout Xubo Yue Raed Al Kontar 18 37 0 04 Nov 2019
Bayesian Optimization Allowing for Common Random Numbers Michael Pearce Matthias Poloczek Juergen Branke BDL 11 23 0 21 Oct 2019
Dynamic Subgoal-based Exploration via Bayesian Optimization Yijia Wang Matthias Poloczek Daniel R. Jiang 26 3 0 21 Oct 2019
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization Maximilian Balandat Brian Karrer Daniel R. Jiang Sam Daulton Benjamin Letham A. Wilson E. Bakshy 32 93 0 14 Oct 2019
mfEGRA: Multifidelity Efficient Global Reliability Analysis through Active Learning for Failure Boundary Location A. Chaudhuri A. Marques Karen E. Willcox 19 24 0 06 Oct 2019
Active learning for level set estimation under cost-dependent input uncertainty Yu Inatsu Masayuki Karasuyama Keiichi Inoue Ichiro Takeuchi 11 4 0 13 Sep 2019
Bayesian Optimization with Binary Auxiliary Information Yehong Zhang Zhongxiang Dai K. H. Low 11 26 0 17 Jun 2019
Knowledge Gradient for Selection with Covariates: Consistency and Computation Liang Ding L. Hong Haihui Shen Xiaowei Zhang BDL 8 27 0 12 Jun 2019
Lifelong Bayesian Optimization Yao Zhang James Jordon Ahmed Alaa M. Schaar 26 11 0 29 May 2019
Bayesian Optimization for Policy Search via Online-Offline Experimentation Benjamin Letham E. Bakshy OffRL 11 56 0 01 Apr 2019
Active Multi-Information Source Bayesian Quadrature A. Gessner Javier I. González Maren Mahsereci 17 30 0 27 Mar 2019
Deep Gaussian Processes for Multi-fidelity Modeling Kurt Cutajar Mark Pullin Andreas C. Damianou Neil D. Lawrence Javier I. González AI4CE 14 109 0 18 Mar 2019
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly Kirthevasan Kandasamy Karun Raju Vysyaraju W. Neiswanger Biswajit Paria Christopher R. Collins J. Schneider Barnabás Póczós Eric P. Xing 29 174 0 15 Mar 2019
Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning Jian Wu Saul Toscano-Palmerin P. Frazier A. Wilson 9 129 0 12 Mar 2019
Harnessing Low-Fidelity Data to Accelerate Bayesian Optimization via Posterior Regularization B. Liu UQCV 17 2 0 11 Feb 2019
Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its parallelization Shion Takeno H. Fukuoka Yuhki Tsukada T. Koyama M. Shiga Ichiro Takeuchi Masayuki Karasuyama 8 40 0 24 Jan 2019
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior Zi Wang Beomjoon Kim L. Kaelbling 11 54 0 23 Nov 2018
Fast Hyperparameter Optimization of Deep Neural Networks via Ensembling Multiple Surrogates Yang Li Jiawei Jiang Yingxia Shao Bin Cui AI4CE 11 0 0 06 Nov 2018
Noisy Blackbox Optimization with Multi-Fidelity Queries: A Tree Search Approach Rajat Sen Kirthevasan Kandasamy Sanjay Shakkottai 6 23 0 24 Oct 2018
A Tutorial on Bayesian Optimization P. Frazier GP 13 1,736 0 08 Jul 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale Stefan Falkner Aaron Klein Frank Hutter BDL 12 1,072 0 04 Jul 2018
Contour location via entropy reduction leveraging multiple information sources A. Marques Rémi R. Lam Karen E. Willcox 9 32 0 19 May 2018
Bayesian Optimization with Expensive Integrands Saul Toscano-Palmerin P. Frazier 11 49 0 23 Mar 2018
Discretization-free Knowledge Gradient Methods for Bayesian Optimization Jian Wu P. Frazier BDL 11 9 0 20 Jul 2017
Experimental Design for Non-Parametric Correction of Misspecified Dynamical Models Gal Shulkind L. Horesh H. Avron 13 16 0 02 May 2017