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| First Page | Document Content | |
|---|---|---|
 Date: 2013-11-08 17:46:03Mathematics Computational complexity theory Graph theory Graphical models Combinatorial optimization Convex optimization Operations research Probability theory Polynomial Ellipsoid method Markov random field Bayesian network |
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Marginals-to-Models Reducibility Michael Kearns University of Pennsylvania ![arXiv:1807.01672v2 [cs.LG] 6 JulRanked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization Alexandre Laterre](https://www.pdfsearch.io/img/fc82b7913ca0093fe7c1f22778317c8f.jpg "arXiv:1807.01672v2 [cs.LG] 6 JulRanked Reward: Enabling Self-Play Reinforcement Learning for Combinatorial Optimization Alexandre Laterre")
![Research Summary∗ Chandra Nair Overview In my early research career I considered random versions of combinatorial optimization problems; my doctoral thesis [17] resolved a long-standing conjecture about the assignment](https://www.pdfsearch.io/img/869aefdb3eda27cbac49899f24e2c699.jpg "Research Summary∗ Chandra Nair Overview In my early research career I considered random versions of combinatorial optimization problems; my doctoral thesis [17] resolved a long-standing conjecture about the assignment")
