Multi-fidelity Bayesian Optimisation with Continuous Approximations

18 March 2017

Kirthevasan Kandasamy

Papers citing "Multi-fidelity Bayesian Optimisation with Continuous Approximations"

36 / 36 papers shown

Title
Adaptive Replication Strategies in Trust-Region-Based Bayesian Optimization of Stochastic Functions Mickael Binois Jeffrey Larson 74 0 0 29 Apr 2025
Frozen Layers: Memory-efficient Many-fidelity Hyperparameter Optimization Timur Carstensen Neeratyoy Mallik Frank Hutter Martin Rapp AI4CE 30 0 0 14 Apr 2025
Co-Learning Bayesian Optimization Zhendong Guo Y. Ong Tiantian He Haitao Liu 97 2 0 23 Jan 2025
Automated design of nonreciprocal thermal emitters via Bayesian optimization Bach Do S. J. Ghalekohneh Taiwo A. Adebiyi Bo Zhao Ruda Zhang 36 3 0 13 Sep 2024
Trajectory-Based Multi-Objective Hyperparameter Optimization for Model Retraining Wenyu Wang Zheyi Fan Szu Hui Ng 33 0 0 24 May 2024
Active Learning and Bayesian Optimization: a Unified Perspective to Learn with a Goal Francesco Di Fiore Michela Nardelli L. Mainini 37 22 0 02 Mar 2023
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds Shion Takeno Yu Inatsu Masayuki Karasuyama 30 13 0 03 Feb 2023
Movement Penalized Bayesian Optimization with Application to Wind Energy Systems Shyam Sundhar Ramesh Pier Giuseppe Sessa Andreas Krause Ilija Bogunovic 16 12 0 14 Oct 2022
Joint Entropy Search for Multi-objective Bayesian Optimization Ben Tu Axel Gandy N. Kantas B. Shafei 27 38 0 06 Oct 2022
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach Syrine Belakaria J. Doppa Nicolò Fusi Rishit Sheth 30 7 0 25 Jun 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 38 199 0 07 Jun 2022
TransBO: Hyperparameter Optimization via Two-Phase Transfer Learning Yang Li Yu Shen Huaijun Jiang Wentao Zhang Zhi-Xin Yang Ce Zhang Tengjiao Wang 36 15 0 06 Jun 2022
Learning the Effect of Registration Hyperparameters with HyperMorph Andrew Hoopes Malte Hoffmann Douglas N. Greve Bruce Fischl John Guttag Adrian V. Dalca 28 38 0 30 Mar 2022
Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders Samuel Stanton Wesley J. Maddox Nate Gruver Phillip M. Maffettone E. Delaney Peyton Greenside A. Wilson BDL 38 89 0 23 Mar 2022
Bayesian Optimization of Function Networks Raul Astudillo P. Frazier 24 36 0 31 Dec 2021
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso Kenan Sehic Alexandre Gramfort Joseph Salmon Luigi Nardi 22 35 0 04 Nov 2021
Scalable One-Pass Optimisation of High-Dimensional Weight-Update Hyperparameters by Implicit Differentiation Ross M. Clarke E. T. Oldewage José Miguel Hernández-Lobato 28 9 0 20 Oct 2021
Non-smooth Bayesian Optimization in Tuning Problems Hengrui Luo J. Demmel Younghyun Cho Xin Li Yang Liu 25 13 0 15 Sep 2021
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO Katharina Eggensperger Philip Muller Neeratyoy Mallik Matthias Feurer René Sass Aaron Klein Noor H. Awad Marius Lindauer Frank Hutter 46 100 0 14 Sep 2021
DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture Kaichen Zhou Lanqing Hong Shuailiang Hu Fengwei Zhou Binxin Ru Jiashi Feng Zhenguo Li 59 10 0 13 Sep 2021
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition Yang Li Yu Shen Wentao Zhang Jiawei Jiang Bolin Ding ... Jingren Zhou Zhi-Xin Yang Wentao Wu Ce Zhang Tengjiao Wang LRM 29 44 0 19 Jul 2021
A Nonmyopic Approach to Cost-Constrained Bayesian Optimization E. Lee David Eriksson Valerio Perrone Matthias Seeger 33 22 0 10 Jun 2021
Lookahead Acquisition Functions for Finite-Horizon Time-Dependent Bayesian Optimization and Application to Quantum Optimal Control Sudharshan Ashwin Renganathan Jeffrey Larson Stefan M. Wild 23 7 0 20 May 2021
HyperMorph: Amortized Hyperparameter Learning for Image Registration Andrew Hoopes Malte Hoffmann Bruce Fischl John Guttag Adrian V. Dalca 36 128 0 04 Jan 2021
Efficient Automatic CASH via Rising Bandits Yang Li Jiawei Jiang Jinyang Gao Yingxia Shao Ce Zhang Tengjiao Wang 14 33 0 08 Dec 2020
Neural fidelity warping for efficient robot morphology design Sha Hu Zeshi Yang Greg Mori 52 4 0 08 Dec 2020
HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation Alexander I. Cowen-Rivers Wenlong Lyu Rasul Tutunov Zhi Wang Antoine Grosnit ... A. Maraval Hao Jianye Jun Wang Jan Peters H. Ammar 27 74 0 07 Dec 2020
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach Syrine Belakaria Aryan Deshwal J. Doppa 6 41 0 02 Nov 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
MUMBO: MUlti-task Max-value Bayesian Optimization Henry B. Moss David S. Leslie Paul Rayson 13 33 0 22 Jun 2020
Combinatorial Black-Box Optimization with Expert Advice Hamid Dadkhahi Karthikeyan Shanmugam Jesus Rios Payel Das Samuel C. Hoffman T. Loeffler S. Sankaranarayanan 22 16 0 06 Jun 2020
Adaptive Batching for Gaussian Process Surrogates with Application in Noisy Level Set Estimation Xiong Lyu M. Ludkovski 25 4 0 19 Mar 2020
Corruption-Tolerant Gaussian Process Bandit Optimization Ilija Bogunovic Andreas Krause Jonathan Scarlett 30 51 0 04 Mar 2020
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
Random Search and Reproducibility for Neural Architecture Search Liam Li Ameet Talwalkar OOD 33 716 0 20 Feb 2019
Multi-fidelity Gaussian Process Bandit Optimisation Kirthevasan Kandasamy Gautam Dasarathy Junier B. Oliva J. Schneider Barnabás Póczós 14 76 0 20 Mar 2016