Playlist: 25 videos

Computational Challenges in Machine Learning

The aim of this workshop is to bring together a broad set of researchers looking at algorithmic questions that arise in machine learning. The primary target areas will be large-­scale learning, including algorithms for Bayesian estimation and...

0:42:41

The Polytope Learning Problem

Navin Goyal, Microsoft Research
Computational Challenges in Machine Learning
https://simons.berkeley.edu/talks/navin-goyal-2017-5-4
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1:4:42

Computationally Tractable and Near Optimal Design of Experiments

Aarti Singh, Carnegie Mellon University
Computational Challenges in Machine Learning
https://simons.berkeley.edu/talks/aarti-singh-2017-5-5
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0:43:14

Learning from Untrusted Data

Gregory Valiant, Stanford University
Computational Challenges in Machine Learning
https://simons.berkeley.edu/talks/gregory-valiant-2017-5-4
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0:41:35

The “Tell Me Something New” Model of Computation for Machine Learning

Yoav Freund, UC San Diego
Computational Challenges in Machine Learning
https://simons.berkeley.edu/talks/yoav-freund-2017-5-1
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