2 citations · 3 across the 2 of their papers we have counts for
4 papers
Exact Support Recovery in Federated Regression with One-shot Communication
Adarsh Barik, Jean Honorio
Federated learning provides a framework to address the challenges of distributed computing, data ownership and privacy over a large number of distributed clients with low computati…
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…
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…
Learning discrete Bayesian networks in polynomial time and sample complexity
Adarsh Barik, Jean Honorio
In this paper, we study the problem of structure learning for Bayesian networks in which nodes take discrete values. The problem is NP-hard in general but we show that under certai…