Introduction to Approximating Max Cut With Subexponential Linear Programs Tselil Schramm
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Approximating Max Cut With Subexponential Linear Programs Tselil Schramm Comprehensive Overview
Tselil Schramm Samuel Hopkins (UC Berkeley); Michael Kapralov, IBM T.J. Watson Research Center Information Theory in Complexity Theory and Combinatorics ...
Contributions to https://github.com/JuliaOpt/JuMPTutorials.jl, adding an application of semi-definite optimization to the
Summary & Highlights for Approximating Max Cut With Subexponential Linear Programs Tselil Schramm
- We consider the problem of
- Michael Kapralov (Ecole Polytechnique Federale de Lausanne) ...
- Fourth and last video of the Semidefinite
- Aaron Sidford, Massachusetts Institute of Technology Fast Algorithms via Spectral Methods ...
- In many high-dimensional statistics problems, we observe information-computation tradeoffs: given access to more data, statistical ...
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