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math.OC2020★ 2 cited
A Sensitivity-based Data Augmentation Framework for Model Predictive Control Policy Approximation
Dinesh Krishnamoorthy
Approximating model predictive control (MPC) policy using expert-based supervised learning techniques requires labeled training data sets sampled from the MPC policy. This is typic…
math.OC2020
Sensitivity Assisted Alternating Directions Method of Multipliers for Distributed Optimization and Statistical Learning
Dinesh Krishnamoorthy, Vyacheslav Kungurtsev
This paper considers the problem of distributed model fitting using the alternating directions method of multipliers (ADMM). ADMM splits the learning problem into several smaller s…