Learning Probabilistic Models for Graph Partitioning in the Presence of Noise

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United States Simons Institute for the Theory of Computing
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Published on ● Video Link: https://www.youtube.com/watch?v=R4yjnnxesQM


Duration: 46:41
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Aravindan Vijayaraghavan, Northwestern University
https://simons.berkeley.edu/talks/aravindan-vijayaraghavan-2016-11-14
Learning, Algorithm Design and Beyond Worst-Case Analysis



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Tags:
Aravindan Vijayaraghavan
Learning Algorithm Design and Beyond Worst-Case Analysis
Simons Institute
Theory of Computing
Theory of Computation
Theoretical Computer Science
Computer Science
UC Berkeley