AG
AmirEmad Ghassami
stat.MLcs.LGstat.MEcs.AImath.STstat.THcs.ITmath.ITecon.EMcs.CR
On Valency
published · living versionsW_gq5ec9cv·v1 · currentpublished
Causal Mediation Analysis with High-Dimensional Surrogates: Identification, Estimation and Inference under Latent Factor Models
with Himani Yadav, Shi Bo, Debarghya Mukherjee
1 version
Preprints & journals
46 papers in the corpus · 2017–2026Functional Estimation under Proxy-Based Full-Law Identification2609.15899v1 · Helen Guo, AmirEmad Ghassami, Ilya Shpitser et al.2026 · 0 citationsarXiv
MediEncoder: Nonlinear Representation Learning for High-Dimensional Causal Mediation Analysis2606.30648v1 · Shi Bo, Debarghya Mukherjee, AmirEmad Ghassami2026 · 0 citationsarXiv
Causal Discovery in Structural VAR Models Under Equal Noise Variance2605.21846v1 · SeyedSina Seyedi HasanAbadi, Fahimeh Arab, Erfan Nozari et al.2026 · 0 citationsarXiv
Proximal Causal Inference for Hidden Outcomes2605.09849v2 · Helen Guo, AmirEmad Ghassami, Ilya Shpitser et al.2026 · 0 citationsarXiv
Model-Robust Direct Effect Under Confounder-Mediator Ambiguity2604.08978v1 · AmirEmad Ghassami2026 · 0 citationsarXiv
Causal Imitation Learning Under Measurement Error and Distribution Shift2601.22206v1 · Shi Bo, AmirEmad Ghassami2026 · 0 citationsarXiv
A Sensitivity Analysis Framework for Causal Inference Under Interference2511.21534v2 · Matvey Ortyashov, AmirEmad Ghassami2025 · 0 citationsarXiv
Debiased Ill-Posed Regression2505.20787v1 · AmirEmad Ghassami, James M. Robins, Andrea Rotnitzky2025 · 0 citationsarXiv
Whole-brain causal discovery using fMRI.40161986 · Arab, Fahimeh, Ghassami, AmirEmad, Jamalabadi, Hamidreza et al.2025 · 5 citationsNetwork neuroscience (Cambridge, Mass.). 2025;9(1):392-420
Semiparametric Triple Difference Estimators2502.19788v3 · Sina Akbari, Negar Kiyavash, AmirEmad Ghassami2025 · 0 citationsarXiv
Debiased Causal Mediation Analysis in Ultra-High-Dimensional Settings in the Presence of Interaction Effects2412.08827v4 · Shi Bo, AmirEmad Ghassami, Debarghya Mukherjee2024 · 0 citationsarXiv
Whole-brain causal connectivity during decoded neurofeedback: a meta study10.1101/2024.11.16.623939v2 · Arab, F., Ghassami, A., Jamalabadai, H. et al.2024 · 0 citationsbioRxiv
Causal Data Fusion for Panel Data without a Pre-Intervention Period2410.16391v4 · Zou Yang, Seung Hee Lee, Julia R. Kohler et al.2024 · 0 citationsarXiv
Causal Discovery in Linear Models with Unobserved Variables and Measurement Error2407.19426v2 · Yuqin Yang, Mohamed Nafea, Negar Kiyavash et al.2024 · 0 citationsarXiv
A General Identification Algorithm For Data Fusion Problems Under Systematic Selection2404.06602v2 · Jaron J. R. Lee, AmirEmad Ghassami, Ilya Shpitser2024 · 0 citationsarXiv
Bias-Targeted Nonparametric Balancing for Stable Causal Mediation Analysis2404.00735v4 · Chang Liu, AmirEmad Ghassami2024 · 0 citationsarXiv
Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach2311.09015v2 · Zixiao Wang, AmirEmad Ghassami, Ilya Shpitser2023 · 1 citationarXiv
Partial Identification of Causal Effects Using Proxy Variables2304.04374v4 · AmirEmad Ghassami, Yunshu Zhang, Ilya Shpitser et al.2023 · 2 citationsarXiv
Causal Discovery in Linear Latent Variable Models Subject to Measurement Error2211.03984v1 · Yuqin Yang, AmirEmad Ghassami, Mohamed Nafea et al.2022 · 2 citationsarXiv
A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models2205.10083v3 · Ehsan Mokhtarian, Saber Salehkaleybar, AmirEmad Ghassami et al.2022 · 0 citationsarXiv
Combining Experimental and Observational Data for Identification and Estimation of Long-Term Causal Effects2201.10743v4 · AmirEmad Ghassami, Chang Liu, Alan Yang et al.2022 · 9 citationsarXiv
Causal Inference with Hidden Mediators2111.02927v2 · AmirEmad Ghassami, Alan Yang, Ilya Shpitser et al.2021 · 8 citationsarXiv
Causal Discovery in Linear Structural Causal Models with Deterministic Relations2111.00341v2 · Yuqin Yang, Mohamed Nafea, AmirEmad Ghassami et al.2021 · 0 citationsarXiv
Partially Intervenable Causal Models2110.12541v2 · AmirEmad Ghassami, Ilya Shpitser2021 · 0 citationsarXiv
Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias2110.12036v1 · Sina Akbari, Ehsan Mokhtarian, AmirEmad Ghassami et al.2021 · 6 citationsarXiv
Information Theoretic Measures for Fairness-aware Feature Selection2106.00772v2 · Sajad Khodadadian, Mohamed Nafea, AmirEmad Ghassami et al.2021 · 5 citationsarXiv
Multiply Robust Causal Mediation Analysis with Continuous Treatments2105.09254v4 · Yizhen Xu, AmirEmad Ghassami, Numair Sani et al.2021 · 1 citationarXiv
Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference2104.02929v3 · AmirEmad Ghassami, Andrew Ying, Ilya Shpitser et al.2021 · 5 citationsarXiv
Impact of Data Processing on Fairness in Supervised Learning2102.01867v1 · Sajad Khodadadian, AmirEmad Ghassami, Negar Kiyavash2021 · 3 citationsarXiv
A Recursive Markov Boundary-Based Approach to Causal Structure Learning2010.04992v3 · Ehsan Mokhtarian, Sina Akbari, AmirEmad Ghassami et al.2020 · 7 citationsarXiv
On the Role of Sparsity and DAG Constraints for Learning Linear DAGs2006.10201v3 · Ignavier Ng, AmirEmad Ghassami, Kun Zhang2020 · 81 citationsarXiv
Model-Augmented Estimation of Conditional Mutual Information for Feature Selection1911.04628v3 · Alan Yang, AmirEmad Ghassami, Maxim Raginsky et al.2019 · 1 citationarXiv
Characterizing Distribution Equivalence and Structure Learning for Cyclic and Acyclic Directed Graphs1910.12993v3 · AmirEmad Ghassami, Alan Yang, Negar Kiyavash et al.2019 · 6 citationsarXiv
Interventional Experiment Design for Causal Structure Learning1910.05651v1 · AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash2019 · 4 citationsarXiv
Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables1908.03932v1 · Saber Salehkaleybar, AmirEmad Ghassami, Negar Kiyavash et al.2019 · 15 citationsarXiv
Multi-domain Causal Structure Learning in Linear Systems.30971863 · Ghassami, AmirEmad, Kiyavash, Negar, Huang, Biwei et al.2024 · 22 citationsAdvances in neural information processing systems. 2018;31:6266-6276
REORDER: Securing Dynamic-Priority Real-Time Systems Using Schedule Obfuscation1806.01393v2 · Chien-Ying Chen, Monowar Hasan, AmirEmad Ghassami et al.2018 · 10 citationsarXiv
Counting and Sampling from Markov Equivalent DAGs Using Clique Trees1802.01239v2 · AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash et al.2018 · 19 citationsarXiv
Fairness in Supervised Learning: An Information Theoretic Approach1801.04378v2 · AmirEmad Ghassami, Sajad Khodadadian, Negar Kiyavash2018 · 42 citationsarXiv
Budgeted Experiment Design for Causal Structure Learning1709.03625v2 · AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash et al.2017 · 15 citations35th International Conference on Machine Learning (ICML), PMLR 80:1719-1728, 2018
A Covert Queueing Channel in FCFS Schedulers1707.07234v2 · AmirEmad Ghassami, Negar Kiyavash2017 · 13 citationsIEEE Transactions on Information Forensics and Security, 13, no. 6 (2018): pp. 1551-1563
Learning Causal Structures Using Regression Invariance1705.09644v1 · AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash et al.2017 · 31 citationsarXiv
A Reconnaissance Attack Mechanism for Fixed-Priority Real-Time Systems1705.02561v1 · Chien-Ying Chen, AmirEmad Ghassami, Sibin Mohan et al.2017 · 8 citationsarXiv
Optimal Experiment Design for Causal Discovery from Fixed Number of Experiments1702.08567v1 · AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash2017 · 4 citationsarXiv
A Covert Queueing Channel in Round Robin Schedulers1701.08883v2 · AmirEmad Ghassami, Ali Yekkehkhany, Negar Kiyavash2017 · 4 citationsarXiv
Interaction Information for Causal Inference: The Case of Directed Triangle1701.08868v1 · AmirEmad Ghassami, Negar Kiyavash2017 · 17 citationsarXiv
Career total: 62 works. 46 are in this corpus.
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