Lecture

Memory-Efficient Adaptive Optimization

Description

This lecture covers memory-efficient adaptive optimization for humungous-scale learning, focusing on joint work with Rohan Anil, Tomer Koren, and Vineet Gupta. Topics include deep non-linear learning, convex optimization, and preconditioning techniques. The instructor discusses the challenges of memory overhead in training large models and the practical applications of adaptive regularization methods.

Official source

https://mediaspace.epfl.ch/media/0_5dhsugw1

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Ontological neighbourhood

Information engineering

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