$π$BO: Augmenting Acquisition Functions with User Beliefs for Bayesian
Optimization

$π$ BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization

23 April 2022

Artur L. F. Souza

Marius Lindauer

Papers citing "$π$BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization"

19 / 19 papers shown

Title
Language-Based Bayesian Optimization Research Assistant (BORA) A. Cissé Xenophon Evangelopoulos V. Gusev Andrew I. Cooper 43 0 0 28 Jan 2025
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference Paul E. Chang Nasrulloh Loka Daolang Huang Ulpu Remes Samuel Kaski Luigi Acerbi AI4CE 51 4 0 20 Oct 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
Bayesian Optimization of Functions over Node Subsets in Graphs Huidong Liang Xingchen Wan Xiaowen Dong 47 1 0 24 May 2024
Expert-guided Bayesian Optimisation for Human-in-the-loop Experimental Design of Known Systems Tom Savage Ehecatl Antonio del Rio Chanona 28 2 0 05 Dec 2023
Robotic Sonographer: Autonomous Robotic Ultrasound using Domain Expertise in Bayesian Optimization Deepak Raina S. Chandrashekhara Richard M. Voyles J. Wachs S. K. Saha 26 14 0 05 Jul 2023
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces Leonard Papenmeier Luigi Nardi Matthias Poloczek 19 36 0 22 Apr 2023
BO-Muse: A human expert and AI teaming framework for accelerated experimental design Sunil R. Gupta A. Shilton V. ArunKumarA. S. Ryan Majid Abdolshah Hung Le Santu Rana Julian Berk Mahad Rashid Svetha Venkatesh 34 7 0 03 Mar 2023
MONGOOSE: Path-wise Smooth Bayesian Optimisation via Meta-learning Adam X. Yang Laurence Aitchison Henry B. Moss 29 4 0 22 Feb 2023
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources P. Mikkola Julien Martinelli Louis Filstroff Samuel Kaski 30 10 0 25 Oct 2022
Falsification of Cyber-Physical Systems using Bayesian Optimization Zahra Ramezani Kenan Sehic Luigi Nardi K. Åkesson 32 1 0 14 Sep 2022
Bayesian Optimization Augmented with Actively Elicited Expert Knowledge Daolang Huang Louis Filstroff P. Mikkola Runkai Zheng Samuel Kaski 21 5 0 18 Aug 2022
Bayesian Optimization with Informative Covariance Afonso Eduardo Michael U. Gutmann 24 3 0 04 Aug 2022
Learning Skill-based Industrial Robot Tasks with User Priors Matthias Mayr Carl Hvarfner Konstantinos Chatzilygeroudis Luigi Nardi Volker Krueger 27 21 0 02 Aug 2022
Joint Entropy Search for Maximally-Informed Bayesian Optimization Carl Hvarfner Frank Hutter Luigi Nardi 36 36 0 09 Jun 2022
Automated Dynamic Algorithm Configuration Steven Adriaensen André Biedenkapp Gresa Shala Noor H. Awad Theresa Eimer Marius Lindauer Frank Hutter 32 36 0 27 May 2022
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization Marius Lindauer Katharina Eggensperger Matthias Feurer André Biedenkapp Difan Deng C. Benjamins Tim Ruhopf René Sass Frank Hutter 85 327 0 20 Sep 2021
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay L. Smith 208 1,019 0 26 Mar 2018
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 110 403 0 06 Mar 2017