Calendar of Events
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1 event,
Solving Stochastic Programming Problems by Operator Splitting. Jonathan Eckstein, Rutgers Business School.
Solving Stochastic Programming Problems by Operator Splitting. Jonathan Eckstein, Rutgers Business School.
Solving Stochastic Programming Problems by Operator Splitting A B S T R A C T This talk describes the solution of convex optimization problems that include uncertainty modeled by a finite but potentially very large multi-stage scenario tree. In 1991, Rockafellar and Wets proposed the progressive hedging (PH) algorithm to solve such problems. This method ... Read more
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1 event,
Model-Based Deep Learning in Signal Processing and Communications, Dr. Nir Shlezinger (BGU)
Model-Based Deep Learning in Signal Processing and Communications, Dr. Nir Shlezinger (BGU)
Title: Model-Based Deep Learning in Signal Processing and Communications Abstract: Recent years have witnessed a dramatically growing interest in machine learning (ML) methods. These data-driven trainable structures have demonstrated an unprecedented empirical success in various applications, including computer vision and speech processing. The benefits of ML-driven techniques over traditional model-based approaches are twofold: First, ML ... Read more