Fetching the paper…
Reading the bibliography…
Domain experts often possess valuable physical insights that are overlooked in fully automated decision-making processes such as Bayesian optimisation.
Algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound-constrained optimization
Ciyou Zhu, Richard H Byrd, Peihuang Lu, and Jorge Nocedal · 1997
Earlier work this paper cites.
A fast and elitist multiobjective genetic algorithm: NSGA-II
K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan · 2002
Earlier work this paper cites.
MOI-MBO: Multiobjective Infill for Parallel Model-Based Optimization
Bernd Bischl, Simon Wessing, Nadja Bauer, Klaus Friedrichs, and Claus Weihs · 2014
Earlier work this paper cites.
Batch Bayesian Optimization via Local Penalization
Javier González, Zhenwen Dai, Philipp Hennig, and Neil D. Lawrence · 2015
Earlier work this paper cites.
A multi-objective batch infill strategy for efficient global optimization
Ahsanul Habib, Hemant Kumar Singh, and Tapabrata Ray · 2016
Earlier work this paper cites.
Incorporating expert prior in Bayesian optimisation via space warping
Anil Ramachandran, Sunil Gupta, Santu Rana, Cheng Li, and Svetha Venkatesh · 2020
Cited alongside, same era.
π \pi BO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization
Carl Hvarfner, Danny Stoll, Artur Souza, Marius Lindauer, Frank Hutter, and Luigi Nardi · 2022
Cited alongside, same era.
Human-AI Collaborative Bayesian Optimisation
A V Kumar, Arun, Santu Rana, Alistair Shilton, and Svetha Venkatesh · 2022
Cited alongside, same era.
Human-in-the-loop Bayesian Optimization with No-Regret Guarantees
Peng Liu · 2022
Cited alongside, same era.
Discovering Many Diverse Solutions with Bayesian Optimization
Natalie Maus, Kaiwen Wu, David Eriksson, and Jacob Gardner · 2022
Later among the works it cites.
Bayesian Optimization
Roman Garnett · 2023
Closest in time.
BO-Muse: A human expert and AI teaming framework for accelerated experimental design
Sunil Gupta, Alistair Shilton, Arun Kumar A, Shannon Ryan, Majid Abdolshah, Hung Le, Santu Rana, Julian Berk, Mahad Rashid, and Svetha Venkatesh · 2023
Closest in time.
Human-machine collaboration for improving semiconductor process development
Keren J. Kanarik, Wojciech T. Osowiecki, Yu Lu, Dipongkar Talukder, Niklas Roschewsky, Sae Na Park, Mattan Kamon, David M. Fried, and Richard A. Gottscho · 2023
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…