Ghassami, Amiremad

16 publications

UAI 2024 A General Identification Algorithm for Data Fusion Problems Under Systematic Selection Jaron Jia Rong Lee, AmirEmad Ghassami, Ilya Shpitser

NeurIPSW 2024 Causal Discovery in Linear Models with Unobserved Variables and Measurement Error Yuqin Yang, Mohamed S Nafea, Negar Kiyavash, Kun Zhang, AmirEmad Ghassami

ICML 2024 Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach Zixiao Wang, Amiremad Ghassami, Ilya Shpitser

JMLR 2023 A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models Ehsan Mokhtarian, Saber Salehkaleybar, AmirEmad Ghassami, Negar Kiyavash

AISTATS 2022 Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference Amiremad Ghassami, Andrew Ying, Ilya Shpitser, Eric Tchetgen Tchetgen

NeurIPS 2022 Causal Discovery in Linear Latent Variable Models Subject to Measurement Error Yuqin Yang, AmirEmad Ghassami, Mohamed Nafea, Negar Kiyavash, Kun Zhang, Ilya Shpitser

CLeaR 2022 Causal Discovery in Linear Structural Causal Models with Deterministic Relations Yuqin Yang, Mohamed S Nafea, AmirEmad Ghassami, Negar Kiyavash

NeurIPS 2021 Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias Sina Akbari, Ehsan Mokhtarian, AmirEmad Ghassami, Negar Kiyavash

ICML 2020 Characterizing Distribution Equivalence and Structure Learning for Cyclic and Acyclic Directed Graphs Amiremad Ghassami, Alan Yang, Negar Kiyavash, Kun Zhang

JMLR 2020 Learning Linear Non-Gaussian Causal Models in the Presence of Latent Variables Saber Salehkaleybar, AmirEmad Ghassami, Negar Kiyavash, Kun Zhang

UAI 2020 Model-Augmented Conditional Mutual Information Estimation for Feature Selection Alan Yang, AmirEmad Ghassami, Maxim Raginsky, Negar Kiyavash, Elyse Rosenbaum

NeurIPS 2020 On the Role of Sparsity and DAG Constraints for Learning Linear DAGs Ignavier Ng, AmirEmad Ghassami, Kun Zhang

AAAI 2019 Counting and Sampling from Markov Equivalent DAGs Using Clique Trees AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang

ICML 2018 Budgeted Experiment Design for Causal Structure Learning AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Elias Bareinboim

NeurIPS 2018 Multi-Domain Causal Structure Learning in Linear Systems AmirEmad Ghassami, Negar Kiyavash, Biwei Huang, Kun Zhang

NeurIPS 2017 Learning Causal Structures Using Regression Invariance AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang