Unlocking Efficient Solutions: Iterative Algorithms for Random Data Challenges π
Join Andrea Montanari from Stanford as he explores cutting-edge iterative algorithms designed to tackle complex problems with random data. Perfect for researchers and students interested in statistical inference and computational complexity!

Simons Institute for the Theory of Computing
1.1K views β’ Aug 28, 2021

About this video
Andrea Montanari (Stanford)
https://simons.berkeley.edu/talks/title-tba-16
Computational Complexity of Statistical Inference Boot Camp
https://simons.berkeley.edu/talks/title-tba-16
Computational Complexity of Statistical Inference Boot Camp
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Video Information
Views
1.1K
Likes
23
Duration
59:11
Published
Aug 28, 2021
User Reviews
4.5
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