50 citations · 383 across the 69 of their papers we have counts for
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A Recursive Markov Boundary-Based Approach to Causal Structure Learning
Ehsan Mokhtarian, Sina Akbari, AmirEmad Ghassami +1
Constraint-based methods are one of the main approaches for causal structure learning that are particularly valued as they are asymptotically guaranteed to find a structure that is…
LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments
Ali AhmadiTeshnizi, Saber Salehkaleybar, Negar Kiyavash
The causal relationships among a set of random variables are commonly represented by a Directed Acyclic Graph (DAG), where there is a directed edge from variable to variable $Y…
Global Convergence and Variance-Reduced Optimization for a Class of Nonconvex-Nonconcave Minimax Problems
Junchi Yang, Negar Kiyavash, Niao He
Nonconvex minimax problems appear frequently in emerging machine learning applications, such as generative adversarial networks and adversarial learning. Simple algorithms such as…
Toward Optimal Adversarial Policies in the Multiplicative Learning System with a Malicious Expert
S. Rasoul Etesami, Negar Kiyavash, Vincent Leon +1
We consider a learning system based on the conventional multiplicative weight (MW) rule that combines experts' advice to predict a sequence of true outcomes. It is assumed that one…