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20112026
most citedGlobal Convergence and Variance-Reduced Optimization for a Class of Nonconvex-Nonconcave Minimax Problems

33 citations · 107 across the 22 of their papers we have counts for

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Showing 2017Show all

6 papers · 1 filter

cs.SI20175 cited

Significance of Side Information in the Graph Matching Problem

Kushagra Singhal, Daniel Cullina, Negar Kiyavash

Percolation based graph matching algorithms rely on the availability of seed vertex pairs as side information to efficiently match users across networks. Although such algorithms w…

stat.ML20172 cited

A New Measure of Conditional Dependence

Jalal Etesami, Kun Zhang, Negar Kiyavash

Measuring conditional dependencies among the variables of a network is of great interest to many disciplines. This paper studies some shortcomings of the existing dependency measur…

cs.LG201713 cited

Learning Causal Structures Using Regression Invariance

AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash +1

We study causal inference in a multi-environment setting, in which the functional relations for producing the variables from their direct causes remain the same across environments…

cs.CR2017

A Reconnaissance Attack Mechanism for Fixed-Priority Real-Time Systems

Chien-Ying Chen, AmirEmad Ghassami, Sibin Mohan +4

In real-time embedded systems (RTS), failures due to security breaches can cause serious damage to the system, the environment and/or injury to humans. Therefore, it is very import…

cs.LG20172 cited

Optimal Experiment Design for Causal Discovery from Fixed Number of Experiments

AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash

We study the problem of causal structure learning over a set of random variables when the experimenter is allowed to perform at most experiments in a non-adaptive manner. We co…

cs.AI20172 cited

Interaction Information for Causal Inference: The Case of Directed Triangle

AmirEmad Ghassami, Negar Kiyavash

Interaction information is one of the multivariate generalizations of mutual information, which expresses the amount information shared among a set of variables, beyond the informa…