2024-04-18-adachi24a.md

title	software	abstract	layout	series	publisher	issn	id	month	tex_title	firstpage	lastpage	page	order	cycles	bibtex_author	author	date	address	container-title	volume	genre	issued	pdf	extras
Looping in the Human: Collaborative and Explainable Bayesian Optimization	https://github.com/ma921/CoExBO	Like many optimizers, Bayesian optimization often falls short of gaining user trust due to opacity. While attempts have been made to develop human-centric optimizers, they typically assume user knowledge is well-specified and error-free, employing users mainly as supervisors of the optimization process. We relax these assumptions and propose a more balanced human-AI partnership with our Collaborative and Explainable Bayesian Optimization (CoExBO) framework. Instead of explicitly requiring a user to provide a knowledge model, CoExBO employs preference learning to seamlessly integrate human insights into the optimization, resulting in algorithmic suggestions that resonate with user preference. CoExBO explains its candidate selection every iteration to foster trust, empowering users with a clearer grasp of the optimization. Furthermore, CoExBO offers a no-harm guarantee, allowing users to make mistakes; even with extreme adversarial interventions, the algorithm converges asymptotically to a vanilla Bayesian optimization. We validate CoExBO’s efficacy through human-AI teaming experiments in lithium-ion battery design, highlighting substantial improvements over conventional methods. Code is available https://github.com/ma921/CoExBO.	inproceedings	Proceedings of Machine Learning Research	PMLR	2640-3498	adachi24a	0	Looping in the Human: Collaborative and Explainable {B}ayesian Optimization	505	513	505-513	505	false	Adachi, Masaki and Planden, Brady and Howey, David and A. Osborne, Michael and Orbell, Sebastian and Ares, Natalia and Muandet, Krikamol and Lun Chau, Siu	given family Masaki Adachi given family Brady Planden given family David Howey given family Michael A. Osborne given family Sebastian Orbell given family Natalia Ares given family Krikamol Muandet given family Siu Lun Chau	2024-04-18		Proceedings of The 27th International Conference on Artificial Intelligence and Statistics	238	inproceedings	date-parts 2024 4 18	https://proceedings.mlr.press/v238/adachi24a/adachi24a.pdf