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LANS Seminar
April 27, 2022 @ 10:30 - 11:30 CDT
Seminar Title: Multi-fidelity Estimation in Online Learning and Control
Speaker: Sami Khairy, Postdoctoral Appointee, ANL/MCS
Date/Time: April 27, 2022 / 10:30 AM – 11:30 AM
Location: See meeting URL on the cels-seminars website (requires Argonne login)
Host: Vishwas Rao
Description: In many computational science and engineering applications, the output of a system of interest corresponding to a given input can be queried at different levels of fidelity with different computational footprints. Within online learning and control, multi-fidelity data can be exploited in many stages of the decision-making pipeline, including estimation, exploration, and exploitation. In this talk, we present our research on learning models with multi-fidelity estimation in the context of Reinforcement Learning (RL) and Bayesian Optimization (BO). Specifically, we propose methods for learning a Q-function (in RL) and a surrogate model (in BO) that can exploit the cross-correlation among multi-fidelity outputs to improve the predictive capability of the model. The efficacy of our proposed multi-fidelity learning techniques are theoretically analyzed in RL, and empirically demonstrated in BO applied to Neural Architecture Search (NAS).
Please note that the meeting URL for this event can be seen on the cels-seminars website, which requires an Argonne login.