Dealing with Integer-valued Variables in Bayesian Optimization with Gaussian Processes

12 June 2017

Papers citing "Dealing with Integer-valued Variables in Bayesian Optimization with Gaussian Processes"

30 / 30 papers shown

Title
Surrogate-based optimization of system architectures subject to hidden constraints J. Bussemaker P. Saves N. Bartoli T. Lefebvre Björn Nagel AI4CE 208 2 0 11 Apr 2025
Optimistic Games for Combinatorial Bayesian Optimization with Application to Protein Design Melis Ilayda Bal Pier Giuseppe Sessa Mojmír Mutný Andreas Krause 41 1 0 27 Sep 2024
CATBench: A Compiler Autotuning Benchmarking Suite for Black-box Optimization Jacob O. Tørring Carl Hvarfner Luigi Nardi Magnus Sjalander 63 0 0 24 Jun 2024
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences Miguel González Duque Richard Michael Simon Bartels Yevgen Zainchkovskyy Søren Hauberg Wouter Boomsma 46 4 0 07 Jun 2024
Asymptotic analysis for covariance parameter estimation of Gaussian processes with functional inputs Lucas Reding A. F. López-Lopera François Bachoc 44 1 0 26 Apr 2024
A Unified Gaussian Process for Branching and Nested Hyperparameter Optimization Jiazhao Zhang Ying Hung Chung-Ching Lin Zicheng Liu 20 0 0 19 Jan 2024
Simulation Based Bayesian Optimization Roi Naveiro Becky Tang 29 0 0 19 Jan 2024
LABCAT: Locally adaptive Bayesian optimization using principal-component-aligned trust regions E. Visser C. E. V. Daalen J. C. Schoeman 45 0 0 19 Nov 2023
Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning Jungtaek Kim 38 1 0 24 May 2023
Dynamic Exploration-Exploitation Trade-Off in Active Learning Regression with Bayesian Hierarchical Modeling Upala J. Islam K. Paynabar G. Runger A. Iquebal 11 3 0 16 Apr 2023
Multi-surrogate Assisted Efficient Global Optimization for Discrete Problems Qiaoyun Huang R. D. Winter Bas van Stein Thomas Bäck Anna V. Kononova 24 2 0 13 Dec 2022
A mixed-categorical correlation kernel for Gaussian process P. Saves Y. Diouane N. Bartoli T. Lefebvre J. Morlier GP 29 18 0 15 Nov 2022
Joint Entropy Search for Multi-objective Bayesian Optimization Ben Tu Axel Gandy N. Kantas B. Shafei 27 38 0 06 Oct 2022
RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances Baolin Li Rohan Basu Roy Tirthak Patel V. Gadepally K. Gettings Devesh Tiwari 37 25 0 23 Jul 2022
Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces Alexander Thebelt Calvin Tsay Robert M. Lee Nathan Sudermann-Merx David Walz B. Shafei Ruth Misener UQCV BDL 45 10 0 02 Jul 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 40 200 0 07 Jun 2022
Fourier Representations for Black-Box Optimization over Categorical Variables Hamid Dadkhahi Jesus Rios Karthikeyan Shanmugam Payel Das 37 11 0 08 Feb 2022
Bayesian Optimization for auto-tuning GPU kernels Floris-Jan Willemsen Rob van Nieuwpoort Ben van Werkhoven 30 20 0 26 Nov 2021
Non-smooth Bayesian Optimization in Tuning Problems Hengrui Luo J. Demmel Younghyun Cho Xin Li Yang Liu 25 13 0 15 Sep 2021
Hyperparameter Optimization: Foundations, Algorithms, Best Practices and Open Challenges B. Bischl Martin Binder Michel Lang Tobias Pielok Jakob Richter ... Theresa Ullmann Marc Becker A. Boulesteix Difan Deng Marius Lindauer 85 455 0 13 Jul 2021
JUMBO: Scalable Multi-task Bayesian Optimization using Offline Data Kourosh Hakhamaneshi Pieter Abbeel Vladimir M. Stojanović Aditya Grover 27 10 0 02 Jun 2021
A Novel Surrogate-assisted Evolutionary Algorithm Applied to Partition-based Ensemble Learning A. Dushatskiy Tanja Alderliesten Peter A. N. Bosman 8 8 0 16 Apr 2021
Explaining Inference Queries with Bayesian Optimization Brandon Lockhart Jinglin Peng Weiyuan Wu Jiannan Wang Eugene Wu 21 7 0 10 Feb 2021
Gryffin: An algorithm for Bayesian optimization of categorical variables informed by expert knowledge Florian Hase Matteo Aldeghi Riley J. Hickman L. Roch Alán Aspuru-Guzik 49 106 0 26 Mar 2020
Towards Automatic Bayesian Optimization: A first step involving acquisition functions E.C. Garrido-Merchán Luis C. Jariego Pérez 6 1 0 21 Mar 2020
Bayesian Optimization for Categorical and Category-Specific Continuous Inputs Dang Nguyen Sunil R. Gupta Santu Rana A. Shilton Svetha Venkatesh 16 50 0 28 Nov 2019
Kernels over Sets of Finite Sets using RKHS Embeddings, with Application to Bayesian (Combinatorial) Optimization Poompol Buathong D. Ginsbourger Tipaluck Krityakierne BDL 29 22 0 09 Oct 2019
Mixed-Variable Bayesian Optimization Erik A. Daxberger Anastasia Makarova M. Turchetta Andreas Krause 24 51 0 02 Jul 2019
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers Igor Fedorov Ryan P. Adams Matthew Mattina P. Whatmough 13 165 0 28 May 2019
Suggesting Cooking Recipes Through Simulation and Bayesian Optimization E.C. Garrido-Merchán Alejandro Albarca-Molina 8 8 0 09 Nov 2018