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Optimization and Machine Learning
OML
Optimization and Machine Learning
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Graduate Seminar

May 11 - May 17, 2025

Error Feedback for Communication-Efficient First and Second-Order Distributed Optimization: Theory and Practical Implementation

Konstantin Burlachenko, Ph.D. Student, Computer Science
May 12, 12:00 - 13:00

B9 L2 R2325

Federated learning software development

Dec 1 - Dec 7, 2019

Proximal Splitting Methods for Convex Optimization: An Introduction

Laurent Condat, Senior Research Scientist, Computer, Electrical and Mathematical Sciences and Engineering
Dec 2, 12:00 - 13:00

B9 L2 H1 R2322

Nov 10 - Nov 16, 2019

Langevin Monte Carlo as an optimization algorithm

Adil Salim, Postdoctoral Research Fellow, Computer Science
Nov 11, 12:00 - 13:00

B9 L2 H1 R2322

machine learning Langevin Monte Carlo optimization

Optimization and Machine Learning (OML)

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