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1907.01329
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Mixed-Variable Bayesian Optimization
International Joint Conference on Artificial Intelligence (IJCAI), 2020
2 July 2019
Erik A. Daxberger
Anastasia Makarova
M. Turchetta
Andreas Krause
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Papers citing
"Mixed-Variable Bayesian Optimization"
35 / 35 papers shown
Automated Discovery of Laser Dicing Processes with Bayesian Optimization for Semiconductor Manufacturing
D. Leeftink
Roman Doll
Heleen Visserman
Marco Post
Faysal Boughorbel
Max Hinne
Marcel van Gerven
56
0
0
28 Nov 2025
Function-on-Function Bayesian Optimization
Jingru Huang
Haijie Xu
Manrui Jiang
Chen Zhang
84
0
0
16 Nov 2025
Beyond Heuristics: Globally Optimal Configuration of Implicit Neural Representations
Sipeng Chen
Yan Zhang
Shibo Li
140
0
0
27 Sep 2025
Adaptive Linear Embedding for Nonstationary High-Dimensional Optimization
Yuejiang Wen
Paul D. Franzon
BDL
133
0
0
16 May 2025
BARK: A Fully Bayesian Tree Kernel for Black-box Optimization
Toby Boyne
Jose Pablo Folch
Robert M. Lee
B. Shafei
Ruth Misener
GP
376
3
0
07 Mar 2025
Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process Models
International Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Mingyu Pu
Songhao Wang
Haowei Wang
Szu Hui Ng
232
0
0
04 Mar 2025
One Set to Rule Them All: How to Obtain General Chemical Conditions via Bayesian Optimization over Curried Functions
Stefan P. Schmid
Ella M. Rajaonson
C. Ser
Mohammad Haddadnia
Shi Xuan Leong
Alán Aspuru-Guzik
Agustinus Kristiadi
Kjell Jorner
Felix Strieth-Kalthoff
294
0
0
26 Feb 2025
Global Optimization of Gaussian Process Acquisition Functions Using a Piecewise-Linear Kernel Approximation
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Yilin Xie
Shiqiang Zhang
J. Paulson
Calvin Tsay
255
7
0
22 Oct 2024
Simulating, Fast and Slow: Learning Policies for Black-Box Optimization
F. V. Massoli
Tim Bakker
Thomas M. Hehn
Tribhuvanesh Orekondy
Arash Behboodi
277
0
0
06 Jun 2024
Bayesian optimization as a flexible and efficient design framework for sustainable process systems
J. Paulson
Calvin Tsay
TPM
269
46
0
29 Jan 2024
Hidden-Variables Genetic Algorithm for Variable-Size Design Space Optimal Layout Problems with Application to Aerospace Vehicles
Engineering applications of artificial intelligence (EAAI), 2022
Juliette Gamot
M. Balesdent
A. Tremolet
Romain Wuilbercq
N. Melab
El-Ghazali Talbi
168
18
0
21 Dec 2022
c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Shuhei Watanabe
Katharina Eggensperger
300
15
0
26 Nov 2022
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
Neural Information Processing Systems (NeurIPS), 2022
Sam Daulton
Xingchen Wan
David Eriksson
Maximilian Balandat
Michael A. Osborne
E. Bakshy
212
56
0
18 Oct 2022
Sample-Then-Optimize Batch Neural Thompson Sampling
Neural Information Processing Systems (NeurIPS), 2022
Zhongxiang Dai
Yao Shu
Bryan Kian Hsiang Low
Patrick Jaillet
AAML
189
30
0
13 Oct 2022
Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces
Neural Information Processing Systems (NeurIPS), 2022
Alexander Thebelt
Calvin Tsay
Robert M. Lee
Nathan Sudermann-Merx
David Walz
B. Shafei
Ruth Misener
UQCV
BDL
318
13
0
02 Jul 2022
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview
ACM Transactions on Evolutionary Learning and Optimization (TELO), 2022
Florian Karl
Tobias Pielok
Julia Moosbauer
Florian Pfisterer
Stefan Coors
...
Jakob Richter
Michel Lang
Eduardo C. Garrido-Merchán
Juergen Branke
J. Herbinger
AI4CE
348
85
0
15 Jun 2022
Machine Learning for Combinatorial Optimisation of Partially-Specified Problems: Regret Minimisation as a Unifying Lens
Stefano Teso
Laurens Bliek
Andrea Borghesi
M. Lombardi
Neil Yorke-Smith
Tias Guns
Baptiste Caramiaux
187
3
0
20 May 2022
Lossy compression of matrices by black-box optimisation of mixed integer nonlinear programming
Scientific Reports (Sci Rep), 2022
T. Kadowaki
Mitsuru Ambai
188
13
0
22 Apr 2022
Bayesian Optimization For Multi-Objective Mixed-Variable Problems
Structural And Multidisciplinary Optimization (SMO), 2022
Haris Moazam Sheikh
P. Marcus
212
18
0
30 Jan 2022
Automated Deep Learning: Neural Architecture Search Is Not the End
Xuanyi Dong
D. Kedziora
Katarzyna Musial
Bogdan Gabrys
418
30
0
16 Dec 2021
Bayesian Optimization for auto-tuning GPU kernels
International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS), 2021
Floris-Jan Willemsen
Rob van Nieuwpoort
Ben van Werkhoven
129
22
0
26 Nov 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
Katharina Eggensperger
439
122
0
14 Sep 2021
Counterfactual Explanations for Arbitrary Regression Models
Thomas Spooner
Danial Dervovic
Jason Long
Jon Shepard
Jiahao Chen
Daniele Magazzeni
173
30
0
29 Jun 2021
Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks
Neural Information Processing Systems (NeurIPS), 2021
Shibo Li
Robert M. Kirby
Shandian Zhe
291
13
0
18 Jun 2021
Bayesian Optimization over Hybrid Spaces
International Conference on Machine Learning (ICML), 2021
Aryan Deshwal
Syrine Belakaria
J. Doppa
192
40
0
08 Jun 2021
Fast Design Space Exploration of Nonlinear Systems: Part I
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2021
S. Narain
Emily Mak
Dana Chee
Brendan Englot
K. Pochiraju
N. Jha
Karthik Narayan
247
6
0
05 Apr 2021
Mixed Variable Bayesian Optimization with Frequency Modulated Kernels
Conference on Uncertainty in Artificial Intelligence (UAI), 2021
Changyong Oh
E. Gavves
Max Welling
239
8
0
25 Feb 2021
Adaptive Local Bayesian Optimization Over Multiple Discrete Variables
Taehyeon Kim
Jaeyeon Ahn
Nakyil Kim
Seyoung Yun
219
3
0
07 Dec 2020
AutoCP: Automated Pipelines for Accurate Prediction Intervals
Yao Zhang
W. Zame
M. Schaar
172
0
0
24 Jun 2020
Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining
Austin Tripp
Erik A. Daxberger
José Miguel Hernández-Lobato
MedIm
286
161
0
16 Jun 2020
Black-box Mixed-Variable Optimisation using a Surrogate Model that Satisfies Integer Constraints
Laurens Bliek
Arthur Guijt
S. Verwer
Mathijs de Weerdt
149
21
0
08 Jun 2020
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
287
123
0
26 Mar 2020
Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection
Erik A. Daxberger
José Miguel Hernández-Lobato
UQCV
400
66
0
11 Dec 2019
Black-box Combinatorial Optimization using Models with Integer-valued Minima
Annals of Mathematics and Artificial Intelligence (AMAI), 2019
Laurens Bliek
S. Verwer
Mathijs de Weerdt
119
19
0
20 Nov 2019
Bayesian Optimisation over Multiple Continuous and Categorical Inputs
International Conference on Machine Learning (ICML), 2019
Binxin Ru
A. Alvi
Vu Nguyen
Michael A. Osborne
Stephen J. Roberts
299
108
0
20 Jun 2019
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