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Incorporating Expert Prior Knowledge into Experimental Design via
  Posterior Sampling

Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling

26 February 2020
Cheng Li
Sunil R. Gupta
Santu Rana
Vu Nguyen
A. Robles-Kelly
Svetha Venkatesh
ArXiv (abs)PDFHTML

Papers citing "Incorporating Expert Prior Knowledge into Experimental Design via Posterior Sampling"

11 / 11 papers shown
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
361
8
0
27 Jan 2025
Principled Bayesian Optimisation in Collaboration with Human Experts
Principled Bayesian Optimisation in Collaboration with Human Experts
Wenjie Xu
Masaki Adachi
Colin N. Jones
Michael A. Osborne
453
5
0
14 Oct 2024
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
277
15
0
29 May 2024
Domain Knowledge Injection in Bayesian Search for New Materials
Domain Knowledge Injection in Bayesian Search for New MaterialsEuropean Conference on Artificial Intelligence (ECAI), 2023
Zikai Xie
Xenophon Evangelopoulos
Joseph C. R. Thacker
Andrew I. Cooper
208
3
0
26 Nov 2023
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
551
23
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
345
8
0
22 Aug 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
249
6
0
18 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
301
89
0
23 Apr 2022
Practitioner Motives to Use Different Hyperparameter Optimization Methods
Practitioner Motives to Use Different Hyperparameter Optimization MethodsACM Transactions on Computer-Human Interaction (TOCHI), 2022
Niclas Kannengießer
Niklas Hasebrook
Felix Morsbach
Marc-André Zöller
Jörg Franke
Marius Lindauer
Katharina Eggensperger
Ali Sunyaev
391
4
0
03 Mar 2022
Gaussian Process Sampling and Optimization with Approximate Upper and
  Lower Bounds
Gaussian Process Sampling and Optimization with Approximate Upper and Lower Bounds
Vu-Linh Nguyen
M. Deisenroth
Michael A. Osborne
GP
378
3
0
22 Oct 2021
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
259
10
0
25 Jun 2020
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