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- This is Stefanie Jegelka's lecture on
- Yandex School of Data Analysis Conference Machine Learning: Prospects and Applications ...
- Stefanie Jegelka, MIT https://simons.berkeley.edu/talks/andreas-krause-stefanie-jegelka-01-23-2017-1 Foundations of Machine ...
- Morteza Zadimoghaddam: Randomized Composable Core-sets for
- A Google Algorithms TechTalk, 2021/01/14, presented by Mehrdad Ghadiri.
Detailed Analysis of A New Framework For Distributed Submodular Maximization
A wide variety of problems in machine learning, including exemplar clustering, document summarization, and sensor placement, ... Submodular maximization Vahab Mirrokni, Google https://simons.berkeley.edu/talks/vahab-mirrokni-2016-11-17 Learning, Algorithm Design and Beyond ...
Authors: Mohammadhossein Bateni (Google); Hossein Esfandiari (Harvard University); Vahab Mirrokni (Google) More on ...
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