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11/20/2020
Online Learning Based Risk-Averse Stochastic MPC of Constrained Linear Uncertain Systems
This paper investigates the problem of designing data-driven stochastic ...
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05/18/2020
Deep Learning and Knowledge-Based Methods for Computer Aided Molecular Design – Toward a Unified Approach: State-of-the-Art and Future Directions
The optimal design of compounds through manipulating properties at the m...
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02/29/2020
Quantum Computing Assisted Deep Learning for Fault Detection and Diagnosis in Industrial Process Systems
Quantum computing (QC) and deep learning techniques have attracted wides...
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02/28/2020
Distributionally Robust Chance Constrained Programming with Generative Adversarial Networks (GANs)
This paper presents a novel deep learning based data-driven optimization...
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10/29/2019
Quantum Computing based Hybrid Solution Strategies for Large-scale Discrete-Continuous Optimization Problems
Quantum computing (QC) has gained popularity due to its unique capabilit...
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04/03/2019
Optimization under Uncertainty in the Era of Big Data and Deep Learning: When Machine Learning Meets Mathematical Programming
This paper reviews recent advances in the field of optimization under un...
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03/27/2019
Posteriori Probabilistic Bounds of Convex Scenario Programs with Validation Tests
Scenario programs have established themselves as efficient tools towards...
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07/28/2017