Exploring Sketching And Randomization For Distributed Submodular And Coverage Optimization

Exploring Sketching And Randomization For Distributed Submodular And Coverage Optimization reveals several interesting facts.

  • A wide variety of problems in machine learning, including exemplar clustering, document summarization, and sensor placement, ...
  • In this paper, we introduce the public-private framework of data summarization motivated by privacy concerns in personalized ...
  • Niv Buchbinder, Tel Aviv University https://simons.berkeley.edu/talks/niv-buchbinder-09-13-17 Discrete
  • A New Framework for Distributed Submodular Maximization
  • Intro ...

In-Depth Information on Sketching And Randomization For Distributed Submodular And Coverage Optimization

Vahab Mirrokni, Google https://simons.berkeley.edu/talks/vahab-mirrokni-2016-11-17 Learning, Algorithm Design and Beyond ... This is Stefanie Jegelka's lecture on Authors: Mohammadhossein Bateni (Google); Hossein Esfandiari (Harvard University); Vahab Mirrokni (Google) More on ... Stefanie Jegelka, MIT https://simons.berkeley.edu/talks/andreas-krause-stefanie-jegelka-01-23-2017-1 Foundations of Machine ...

Many problems in machine learning that involve discrete structures or subset selection may be phrased in the language of ...

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