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Optimization and Machine Learning
OML
Optimization and Machine Learning
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Event Content - (T)

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May 28, 10:00 - 12:00, The Many Faces of Compression: Theory and Practice in Federated Optimization (B3, L5, R5209), Elnur Gasanov, Ph.D. Student, Computer Science
communication efficiency, compression methods, Ph.D. Dissertation Defense, proximal algorithms
Nov 24, 12:00 - 13:00, Training Neural Networks at Any Scale (B9 L2 R2325), Volkan Cevher, Associate Professor, School of Engineering, Swiss Federal Institute of Technology (EPFL), Switzerland
deep learning, Graduate Seminar, machine learning, Numerical simulation and analysis, optimization, Reinforcement Learning

Optimization and Machine Learning (OML)

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