Bayesian Optimization With Automatic Prior

Bayesian Optimization with Gradients (NIPS 2017 Oral)

Paper: https://arxiv.org/abs/1703.04389 Code: https://github.com/wujian16/Cornell-MOE Slides: ...

[AUTOML23] Multi-objective Bayesian Optimization with Heuristic Objectives for Biomedical and ...

Authors: Alina Selega, Kieran R. Campbell https://2023.automl.cc/program/accepted_papers/

AI4SD2022: Bayesian Optimisation in Chemistry – Rubaiyat Khondaker

This video is the 33rd talk that was given for the AI4SD2022 Conference.

Bayesian Optimization with Automatic Prior Selection for Data-Efficient Direct Policy Search

ICRA 2018 Spotlight Video Interactive Session Thu PM Pod Q.7 Authors: Pautrat, Remi; Chatzilygeroudis, Konstantinos;...

Bayesian Optimization with Automatic Prior Selection for Data-Efficient Direct Policy Search

Rémi Pautrat, Konstantinos Chatzilygeroudis, Jean-Baptiste Mouret Paper: https://arxiv.org/abs/1709.06919 Source...

Bayesian Optimization with Gradients - NIPS 2017

Paper: https://arxiv.org/abs/1703.04389 Code: https://github.com/wujian16/Cornell-MOE

[AUTOML24] Sample-Efficient Bayesian Optimization with Transfer Learning for Heterogeneous Spaces

Authors: Aryan Deshwal, Sait Cakmak, Yuhou Xia, David Eriksson https://2024.automl.cc/

Bayesian Optimization with Automatic Prior Selection for Data-Efficient Direct Policy Search

Submitted to ICRA 2018 / presented at CoRL 2017. https://arxiv.org/abs/1709.06919 One of the most interesting...

Automated Performance Tuning with Bayesian Optimization

Automated

[AUTOML24] Automated Prior Elicitation from Large Language Models for Bayesian Logistic Regression

Authors: Henry Gouk, Boyan Gao https://2024.automl.cc/

Bayesian Optimization with a Prior for the Optimum (ECML'21)

While

[AUTOML23] Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection

Authors: Yihang Shen, Carl Kingsford https://2023.automl.cc/program/accepted_papers/

Demo: Automated Aberration tuning Using Bayesian Optimization

Preprint link- https://arxiv.org/abs/2601.18972.