2 citations · 3 across the 6 of their papers we have counts for
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cs.GT2019★ 1 cited
Provable Computational and Statistical Guarantees for Efficient Learning of Continuous-Action Graphical Games
Adarsh Barik, Jean Honorio
In this paper, we study the problem of learning the set of pure strategy Nash equilibria and the exact structure of a continuous-action graphical game with quadratic payoffs by obs…
cs.LG2019
Learning Bayesian Networks with Low Rank Conditional Probability Tables
Adarsh Barik, Jean Honorio
In this paper, we provide a method to learn the directed structure of a Bayesian network using data. The data is accessed by making conditional probability queries to a black-box m…