HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation

7 December 2020

Alexander I. Cowen-Rivers

Jun Wang

Jan Peters

H. Ammar

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Papers citing "HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation"

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Title
Efficient Time Series Processing for Transformers and State-Space Models through Token Merging Leon Götz Marcel Kollovieh Stephan Günnemann Leo Schwinn 53 2 0 06 Jun 2025
Evolution Meets Diffusion: Efficient Neural Architecture Generation Bingye Zhou Caiyang Yu DiffM 114 0 0 24 Apr 2025
Surrogate-based optimization of system architectures subject to hidden constraints J. Bussemaker P. Saves N. Bartoli T. Lefebvre Björn Nagel AI4CE 331 2 0 11 Apr 2025
Contextual Causal Bayesian Optimisation Vahan Arsenyan Antoine Grosnit Haitham Bou-Ammar CML 48 2 0 29 Jan 2023
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 45 291 0 20 Apr 2021
Transforming Gaussian Processes With Normalizing Flows Juan Maroñas Oliver Hamelijnck Jeremias Knoblauch Theodoros Damoulas 71 34 0 03 Nov 2020
SAMBA: Safe Model-Based & Active Reinforcement Learning Alexander I. Cowen-Rivers Daniel Palenicek Vincent Moens Mohammed Abdullah Aivar Sootla Jun Wang Haitham Bou-Ammar 42 44 0 12 Jun 2020
Distributionally Robust Bayesian Optimization Johannes Kirschner Ilija Bogunovic Stefanie Jegelka Andreas Krause 51 78 0 20 Feb 2020
Scalable Constrained Bayesian Optimization David Eriksson Matthias Poloczek 44 98 0 20 Feb 2020
pymoo: Multi-objective Optimization in Python Julian Blank Kalyanmoy Deb 42 1,226 0 22 Jan 2020
Robust Gaussian Process Regression with a Bias Model Chiwoo Park David J. Borth Nicholas S. Wilson Chad N. Hunter F. Friedersdorf 46 28 0 14 Jan 2020
Achieving Robustness to Aleatoric Uncertainty with Heteroscedastic Bayesian Optimisation Ryan-Rhys Griffiths Alexander A. Aldrick Miguel García-Ortegón Vidhi R. Lalchand A. Lee 49 35 0 17 Oct 2019
Scalable Global Optimization via Local Bayesian Optimization Samyam Rajbhandari Michael Pearce Jacob R. Gardner Ryan D. Turner Matthias Poloczek 67 458 0 03 Oct 2019
Wasserstein Robust Reinforcement Learning Mohammed Abdullah Hang Ren Haitham Bou-Ammar Vladimir Milenkovic Rui Luo Mingtian Zhang Jun Wang 88 75 0 30 Jul 2019
pySOT and POAP: An event-driven asynchronous framework for surrogate optimization David Eriksson D. Bindel C. Shoemaker 30 56 0 30 Jul 2019
Compositionally-Warped Gaussian Processes Gonzalo Rios Felipe A. Tobar 29 43 0 23 Jun 2019
On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems Tianyi Lin Chi Jin Michael I. Jordan 62 505 0 02 Jun 2019
Knowing The What But Not The Where in Bayesian Optimization Vu Nguyen Michael A. Osborne 33 38 0 07 May 2019
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly Kirthevasan Kandasamy Karun Raju Vysyaraju Willie Neiswanger Biswajit Paria Christopher R. Collins J. Schneider Barnabás Póczós Eric Xing 47 174 0 15 Mar 2019
Multi-objective Bayesian optimisation with preferences over objectives Majid Abdolshah A. Shilton Santu Rana Sunil R. Gupta Svetha Venkatesh 26 47 0 12 Feb 2019
Adversarially Robust Optimization with Gaussian Processes Ilija Bogunovic Jonathan Scarlett Stefanie Jegelka Volkan Cevher GP AAML 25 126 0 25 Oct 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale Stefan Falkner Aaron Klein Frank Hutter BDL 134 1,077 0 04 Jul 2018
BOCK : Bayesian Optimization with Cylindrical Kernels Changyong Oh E. Gavves Max Welling 31 135 0 05 Jun 2018
Neural Architecture Search with Bayesian Optimisation and Optimal Transport Kirthevasan Kandasamy Willie Neiswanger J. Schneider Barnabás Póczós Eric Xing 52 603 0 11 Feb 2018
GPflowOpt: A Bayesian Optimization Library using TensorFlow Nicolas Knudde J. Herten T. Dhaene Ivo Couckuyt GP 34 78 0 10 Nov 2017
Stochastic Cubic Regularization for Fast Nonconvex Optimization Nilesh Tripuraneni Mitchell Stern Chi Jin Jeffrey Regier Michael I. Jordan 38 173 0 08 Nov 2017
The Marginal Value of Adaptive Gradient Methods in Machine Learning Ashia Wilson Rebecca Roelofs Mitchell Stern Nathan Srebro Benjamin Recht ODL 44 1,023 0 23 May 2017
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World Joshua Tobin Rachel Fong Alex Ray Jonas Schneider Wojciech Zaremba Pieter Abbeel 139 2,948 0 20 Mar 2017
Multi-fidelity Bayesian Optimisation with Continuous Approximations Kirthevasan Kandasamy Gautam Dasarathy J. Schneider Barnabás Póczós 33 220 0 18 Mar 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 536 10,699 0 19 Feb 2017
LazySVD: Even Faster SVD Decomposition Yet Without Agonizing Pain Zeyuan Allen-Zhu Yuanzhi Li 48 129 0 12 Jul 2016
The CMA Evolution Strategy: A Tutorial N. Hansen 43 1,362 0 04 Apr 2016
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization Lisha Li Kevin Jamieson Giulia DeSalvo Afshin Rostamizadeh Ameet Talwalkar 150 2,307 0 21 Mar 2016
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 236 4,143 0 21 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 588 149,474 0 22 Dec 2014
An Entropy Search Portfolio for Bayesian Optimization Bobak Shahriari Ziyun Wang Matthew W. Hoffman Alexandre Bouchard-Côté Nando de Freitas 46 57 0 18 Jun 2014
Manifold Gaussian Processes for Regression Roberto Calandra Jan Peters C. Rasmussen M. Deisenroth 141 272 0 24 Feb 2014
Input Warping for Bayesian Optimization of Non-stationary Functions Jasper Snoek Kevin Swersky R. Zemel Ryan P. Adams 65 235 0 05 Feb 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 332 16,972 0 20 Dec 2013
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 258 7,883 0 13 Jun 2012
Portfolio Allocation for Bayesian Optimization E. Brochu Matthew W. Hoffman Nando de Freitas 294 279 0 28 Sep 2010