Lecture

Time-Data Tradeoffs and Sparse Representations

In course

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Description

This lecture covers time-data trade-offs, variance reduction, and the role of convexity in mathematical models for data analysis. It delves into the challenges of estimation, prediction, and decision-making in regression models, emphasizing sparse representations and combinatorial approaches. The instructor discusses the impact of sparsity on overcomplete matrices and presents a computational dogma related to the running time of learning algorithms.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_a6klfso0

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