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Incorporating Expert Prior in Bayesian Optimisation via Space Warping

Incorporating Expert Prior in Bayesian Optimisation via Space Warping

Knowledge-Based Systems (KBS), 2020
27 March 2020
Anil Ramachandran
Sunil R. Gupta
Santu Rana
Cheng Li
Svetha Venkatesh
ArXiv (abs)PDFHTML

Papers citing "Incorporating Expert Prior in Bayesian Optimisation via Space Warping"

12 / 12 papers shown
Title
Multi-objective Hyperparameter Optimization in the Age of Deep Learning
Multi-objective Hyperparameter Optimization in the Age of Deep Learning
Soham Basu
Frank Hutter
Danny Stoll
0
0
0
11 Nov 2025
Counterfactual Credit Guided Bayesian Optimization
Counterfactual Credit Guided Bayesian Optimization
Qiyu Wei
Haowei Wang
Richard Allmendinger
Mauricio A Álvarez
64
0
0
06 Oct 2025
Hyperparameter Optimization via Interacting with Probabilistic Circuits
Jonas Seng
Fabrizio G. Ventola
Zhongjie Yu
Kristian Kersting
TPM
192
1
0
23 May 2025
Language-Based Bayesian Optimization Research Assistant (BORA)
Language-Based Bayesian Optimization Research Assistant (BORA)International Joint Conference on Artificial Intelligence (IJCAI), 2025
A. Cissé
Xenophon Evangelopoulos
V. Gusev
Andrew I. Cooper
209
4
0
27 Jan 2025
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided
  by a Function Prior
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior
Shuyu Cheng
Yibo Miao
Yinpeng Dong
Xiao Yang
Xiao-Shan Gao
Jun Zhu
AAML
151
6
0
29 May 2024
Looping in the Human Collaborative and Explainable Bayesian Optimization
Looping in the Human Collaborative and Explainable Bayesian OptimizationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Masaki Adachi
Brady Planden
David A. Howey
Michael A. Osborne
Sebastian Orbell
Natalia Ares
Krikamol Maundet
Siu Lun Chau
241
21
0
26 Oct 2023
HypBO: Accelerating Black-Box Scientific Experiments Using Experts'
  Hypotheses
HypBO: Accelerating Black-Box Scientific Experiments Using Experts' HypothesesInternational Joint Conference on Artificial Intelligence (IJCAI), 2023
A. Cissé
Xenophon Evangelopoulos
Sam Carruthers
V. Gusev
Andrew I. Cooper
133
5
0
22 Aug 2023
PFNs4BO: In-Context Learning for Bayesian Optimization
PFNs4BO: In-Context Learning for Bayesian OptimizationInternational Conference on Machine Learning (ICML), 2023
Samuel G. Müller
Matthias Feurer
Noah Hollmann
Katharina Eggensperger
249
58
0
27 May 2023
Bayesian Optimization Augmented with Actively Elicited Expert Knowledge
Bayesian Optimization Augmented with Actively Elicited Expert Knowledge
Daolang Huang
Louis Filstroff
P. Mikkola
Runkai Zheng
Samuel Kaski
114
6
0
18 Aug 2022
Bayesian Optimization with Informative Covariance
Bayesian Optimization with Informative Covariance
Afonso Eduardo
Michael U. Gutmann
154
4
0
04 Aug 2022
$π$BO: Augmenting Acquisition Functions with User Beliefs for Bayesian
  Optimization
πππBO: Augmenting Acquisition Functions with User Beliefs for Bayesian OptimizationInternational Conference on Learning Representations (ICLR), 2022
Carl Hvarfner
Daniel Stoll
Artur L. F. Souza
Marius Lindauer
Katharina Eggensperger
Luigi Nardi
162
84
0
23 Apr 2022
Bayesian Optimization with a Prior for the Optimum
Bayesian Optimization with a Prior for the Optimum
Artur L. F. Souza
Luigi Nardi
Leonardo B. Oliveira
K. Olukotun
Marius Lindauer
Katharina Eggensperger
180
10
0
25 Jun 2020
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