AmirEmad Ghassami

发表

Model-Augmented Conditional Mutual Information Estimation for Feature Selection

Elyse Rosenbaum, Maxim Raginsky, Alan Yang, 2020, UAI.

Learning Causal Structures Using Regression Invariance

Kun Zhang, AmirEmad Ghassami, Saber Salehkaleybar, 2017, NIPS.

Message partitioning and limited auxiliary randomness: Alternatives to Honey Encryption

Daniel Cullina, AmirEmad Ghassami, Negar Kiyavash, 2016, 2016 IEEE International Symposium on Information Theory (ISIT).

Interventional Experiment Design for Causal Structure Learning pdf

AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, 2019, ArXiv.

Fairness in Supervised Learning: An Information Theoretic Approach

AmirEmad Ghassami, Negar Kiyavash, Sajad Khodadadian, 2018, 2018 IEEE International Symposium on Information Theory (ISIT).

Schedule-Based Side-Channel Attack in Fixed-Priority Real-time Systems

Sibin Mohan, Rodolfo Pellizzoni, Rakesh B. Bobba, 2015 .

A Covert Queueing Channel in Round Robin Schedulers pdf

Yi Lu, Ali Yekkehkhany, AmirEmad Ghassami, 2017, ArXiv.

Characterizing Distribution Equivalence for Cyclic and Acyclic Directed Graphs pdf

Kun Zhang, AmirEmad Ghassami, Negar Kiyavash, 2019, ArXiv.

Sneak-Peek: High speed covert channels in data center networks

Xun Gong, Mohammad Taha Khan, Fareed Zaffar, 2016, IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications.

Counting and Sampling from Markov Equivalent DAGs Using Clique Trees

Kun Zhang, AmirEmad Ghassami, Saber Salehkaleybar, 2018, AAAI.

A Recursive Markov Blanket-Based Approach to Causal Structure Learning pdf

AmirEmad Ghassami, Negar Kiyavash, Ehsan Mokhtarian, 2020, ArXiv.

A Covert Queueing Channel in FCFS Schedulers

AmirEmad Ghassami, Negar Kiyavash, 2018, IEEE Transactions on Information Forensics and Security.

Multi-domain Causal Structure Learning in Linear Systems

Kun Zhang, AmirEmad Ghassami, Negar Kiyavash, 2018, NeurIPS.

Data-driven reliability for datacenter hard disk drives

Elyse Rosenbaum, Alan Yang, AmirEmad Ghassami, 2019 .

Interaction information for causal inference: The case of directed triangle

AmirEmad Ghassami, Negar Kiyavash, N. Kiyavash, 2017, 2017 IEEE International Symposium on Information Theory (ISIT).

REORDER: Securing Dynamic-Priority Real-Time Systems Using Schedule Obfuscation pdf

Sibin Mohan, Chien-Ying Chen, AmirEmad Ghassami, 2018, ArXiv.

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

Man-Ki Yoon, Rakesh Bobba, Sibin Mohan, 2017, ArXiv.

Counting and Uniform Sampling from Markov Equivalent DAGs pdf

AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, 2018, ArXiv.

Capacity limit of queueing timing channel in shared FCFS schedulers

Xun Gong, AmirEmad Ghassami, Negar Kiyavash, 2015, 2015 IEEE International Symposium on Information Theory (ISIT).

Optimal Experiment Design for Causal Discovery from Fixed Number of Experiments pdf

AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, 2017, ArXiv.

A study of covert queueing channels in shared schedulers

AmirEmad Ghassami, 2016 .

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

AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, 2019, J. Mach. Learn. Res..

Budgeted Experiment Design for Causal Structure Learning

Elias Bareinboim, AmirEmad Ghassami, Saber Salehkaleybar, 2017, ICML.

Model-Augmented Estimation of Conditional Mutual Information for Feature Selection

Elyse Rosenbaum, Maxim Raginsky, Alan Yang, 2019 .

Characterizing Distribution Equivalence and Structure Learning for Cyclic and Acyclic Directed Graphs

Kun Zhang, Alan Yang, AmirEmad Ghassami, 2019, ICML.

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

Elyse Rosenbaum, Maxim Raginsky, Alan Yang, 2019, ArXiv.

Information Theoretic Measures for Fairness-aware Feature Selection pdf

Mohamed S. Nafea, AmirEmad Ghassami, Negar Kiyavash, 2021, ArXiv.

Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals pdf

Ilya Shpitser, AmirEmad Ghassami, Eric Tchetgen Tchetgen, 2021, ArXiv.

Multiply Robust Causal Mediation Analysis with Continuous Treatments pdf

Ilya Shpitser, AmirEmad Ghassami, Numair Sani, 2021, ArXiv.

Causal Discovery in Linear Structural Causal Models with Deterministic Relations pdf

AmirEmad Ghassami, Negar Kiyavash, Mohamed Nafea, 2021, ArXiv.

Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias pdf

AmirEmad Ghassami, Negar Kiyavash, Ehsan Mokhtarian, 2021, NeurIPS.

Partially Intervenable Causal Models pdf

Ilya Shpitser, AmirEmad Ghassami, 2021, ArXiv.

Combining Experimental and Observational Data for Identification of Long-Term Causal Effects

Ilya Shpitser, AmirEmad Ghassami, Eric Tchetgen Tchetgen, 2022 .

Impact of Data Processing on Fairness in Supervised Learning

AmirEmad Ghassami, Negar Kiyavash, Sajad Khodadadian, 2021, 2021 IEEE International Symposium on Information Theory (ISIT).

Proximal Causal Inference with Hidden Mediators: Front-Door and Related Mediation Problems

Ilya Shpitser, AmirEmad Ghassami, Eric Tchetgen Tchetgen, 2021 .