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High dimensional gradient-augmented Bayesian optimization with adjoint solvers
[AUTOML23] Some Applications of Bayesian Optimisation in Industry
Vanilla Bayesian Optimization Performs Great in High Dimensions
[AUTOML23] SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
vanilla bayesian optimization performs great in high dimensions
Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces, S. Daulton, et al
2021 3.3 Data efficient Optimization with Bayesian Optimization - Roberto Calandra
AISTATS 2023: PF2ES for Multi-Objective Bayesian Optimization
KDD 2025 - Experimenting, Fast and Slow: Bayesian Optimization of Long-term Outcomes
Bayesian Optimization for an Additive Manufacturing Process
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Last Updated: September 22, 2026
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Authors: Yihang Shen, Carl Kingsford 2023.automl.cc/program/accepted_papers/ Authors: Xiaoxing Wang, Jiaxing Li, Chao Xue, Wei Liu, Weifeng Liu, Xiaokang Yang, Junchi Yan, Dacheng Tao ... We combine adjoint solvers with gradient-augmented Authors: Marius Lindauer, Katharina Eggensperger, Matthias Feurer, André Biedenkapp, Difan Deng, Carolin Benjamins, Tim ... Download 1M+ code from codegive.com/9e915e1 tutorial on vanilla by Swaraj Vatsa for ANC Journal Club. Qing Feng:Meta ;Samuel Daulton:Meta ;Benjamin Letham:Meta ;Maximilian Balandat:Meta ;Eytan Bakshy:Meta. Constraint Active Search is especially useful for processes manufacturing and material science—in this video, Gustavo ...
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