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06/24/2023
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems
Physics-informed machine learning (PIML) is a set of methods and tools t...
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05/05/2023
No-Regret Constrained Bayesian Optimization of Noisy and Expensive Hybrid Models using Differentiable Quantile Function Approximations
This paper investigates the problem of efficient constrained global opti...
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03/25/2023
Multi-agent Black-box Optimization using a Bayesian Approach to Alternating Direction Method of Multipliers
Bayesian optimization (BO) is a powerful black-box optimization framewor...
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09/03/2021