Exploring Faster Spectral Algorithms Via Approximation Theory
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- MIT 6.7960 Deep Learning, Fall 2024 Instructor: Jeremy Bernstein View the complete course: ...
- We introduce a notion of what it means for one graph to be a good
- Simon Apers (INRIA) The Quantum Wave in Computing Seminar, Apr. 7, 2020 Graph sparsification underlies a large number of ...
- ... Institute of Technology
- Sushant Sachdeva Institute for Advanced Study April 16, 2012 The goal of the Balanced Separator problem is to find a balanced ...
In-Depth Information on Faster Spectral Algorithms Via Approximation Theory
Nisheeth Vishnoi, École Polytechnique Fédérale de Lausanne Fangjin Yang and Nelson Ray present at Strata NYC 2013. Jonah Sherman, UC Berkeley Convex optimization is a key tool in computer science, with applications ranging from machine learning to operational research.
Tselil Schramm, UC Berkeley https://simons.berkeley.edu/talks/tselil-schramm-11-9-17 Hierarchies, Extended Formulations and ...
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