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20192022
most citedOptimization under Uncertainty in the Era of Big Data and Deep Learning: When Machine Learning Meets Mathematical Programming

340 citations · 421 across the 3 of their papers we have counts for

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math.OC2020★ 60 cited

Online Learning Based Risk-Averse Stochastic MPC of Constrained Linear Uncertain Systems

Chao Ning, Fengqi You

This paper investigates the problem of designing data-driven stochastic Model Predictive Control (MPC) for linear time-invariant systems under additive stochastic disturbance, whos…