Provable Computational and Statistical Guarantees for Efficient Learning of Continuous-Action Graphical Games

Author:

Barik Adarsh1,Honorio Jean1

Affiliation:

1. Purdue University West Lafayette,Department of Computer Science,Indiana,USA

Publisher

IEEE

Reference24 articles.

1. Who's Who in Networks. Wanted: The Key Player

2. How Close is the Sample Covariance Matrix to the Actual Covariance Matrix?

3. Learning sparse polymatrix games in polynomial time and sample complexity;ghoshal;International Conference on Artificial Intelligence and Statistics,2018

4. Convex Optimization

5. Targeting Interventions in Networks

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