Browsing Library by Author "Madani, Ramtin"
Now showing items 1-5 of 5
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Convex and Non-convex Optimization Methods for Machine Learning
Zohrizadeh, Fariba (2019-08-01)This dissertation is concerned with modeling fundamental and challenging machine learning tasks as convex/non-convex optimization problems and designing a mechanism that could solve them in a cost and time-effective manner. ... -
Deep Representation Learning for Clustering and Domain Adaptation
Kheirandishfard, Mohsen (2019-12-05)Representation learning is a fundamental task in the area of machine learning which can significantly influence the performance of the algorithms used in various applications. The main goal of this task is to capture the ... -
Fast and Parallelizable Numerical Algorithms for Large Scale Conic Optimization Problems
Adil, Muhammad (2021-12-16)Many real world problems from various application areas such as engineering, finance and operation research can be cast as optimization problems. Generally, the goal is to optimize an objective function under a set of ... -
HIGH-PERFORMANCE OPTIMIZATION METHODS FOR EMERGING POWER SYSTEMS
Altun, Tuncay; 0000-0003-1499-3384 (2020-07-31)This dissertation investigates the applications of high performance optimization techniques for emerging power systems with augmented power electronics devices. One of the main sources of complexity in the analysis of power ... -
SCALABLE OPTIMIZATION METHOD FOR GENERATOR SCHEDULING UNDER UNCERTAINTY
Quarm JNR, Edward Arthur; 0000-0001-8376-5663 (2021-12-16)Scalable optimization methods for power system operation has been subject of research over the last 60 years. State-of-the-art methods in this research area is yet to yield the scalability desired by system operators for ...