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Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals


Apr 07, 2021
AmirEmad Ghassami, Andrew Ying, Ilya Shpitser, Eric Tchetgen Tchetgen


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Impact of Data Processing on Fairness in Supervised Learning


Feb 03, 2021
Sajad Khodadadian, AmirEmad Ghassami, Negar Kiyavash

* 18 pages, 4 figures 

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A Recursive Markov Blanket-Based Approach to Causal Structure Learning


Oct 10, 2020
Ehsan Mokhtarian, Sina Akbari, AmirEmad Ghassami, Negar Kiyavash


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On the Role of Sparsity and DAG Constraints for Learning Linear DAGs


Jun 17, 2020
Ignavier Ng, AmirEmad Ghassami, Kun Zhang

* 24 pages, 10 figures 

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Model-Augmented Nearest-Neighbor Estimation of Conditional Mutual Information for Feature Selection


Nov 12, 2019
Alan Yang, AmirEmad Ghassami, Maxim Raginsky, Negar Kiyavash, Elyse Rosenbaum


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Characterizing Distribution Equivalence for Cyclic and Acyclic Directed Graphs


Oct 28, 2019
AmirEmad Ghassami, Kun Zhang, Negar Kiyavash


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Interventional Experiment Design for Causal Structure Learning


Oct 12, 2019
AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash


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Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables


Aug 11, 2019
Saber Salehkaleybar, AmirEmad Ghassami, Negar Kiyavash, Kun Zhang


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Counting and Sampling from Markov Equivalent DAGs Using Clique Trees


Sep 11, 2018
AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang


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Budgeted Experiment Design for Causal Structure Learning


Jul 29, 2018
AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Elias Bareinboim

* 35th International Conference on Machine Learning (ICML), PMLR 80:1719-1728, 2018 

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Fairness in Supervised Learning: An Information Theoretic Approach


Jul 29, 2018
AmirEmad Ghassami, Sajad Khodadadian, Negar Kiyavash


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Learning Causal Structures Using Regression Invariance


May 26, 2017
AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang


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Optimal Experiment Design for Causal Discovery from Fixed Number of Experiments


Feb 27, 2017
AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash


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Interaction Information for Causal Inference: The Case of Directed Triangle


Jan 30, 2017
AmirEmad Ghassami, Negar Kiyavash


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