Negar Kiyavash

About Negar Kiyavash

Negar Kiyavash, With an exceptional h-index of 38 and a recent h-index of 26 (since 2020), a distinguished researcher at École Polytechnique Fédérale de Lausanne, specializes in the field of causality, applied probability, network forensics, random graphs, time series.

His recent articles reflect a diverse array of research interests and contributions to the field:

Causal effect identification in uncertain causal networks

A Cross-Moment Approach for Causal Effect Estimation

Causal imitability under context-specific independence relations

Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data

Analysis of Large Market Data Using Neural Networks: A Causal Approach

s-id: Causal effect identification in a sub-population

Confounded budgeted causal bandits

Non-linear Triple Changes Estimator for Targeted Policies

Negar Kiyavash Information

University

Position

(EPFL)

Citations(all)

4519

Citations(since 2020)

2178

Cited By

3156

hIndex(all)

38

hIndex(since 2020)

26

i10Index(all)

71

i10Index(since 2020)

56

Email

University Profile Page

Google Scholar

Negar Kiyavash Skills & Research Interests

causality

applied probability

network forensics

random graphs

time series

Top articles of Negar Kiyavash

Title

Journal

Author(s)

Publication Date

Causal effect identification in uncertain causal networks

Advances in Neural Information Processing Systems

Sina Akbari

Fateme Jamshidi

Ehsan Mokhtarian

Matthew Vowels

Jalal Etesami

...

2024/2/13

A Cross-Moment Approach for Causal Effect Estimation

Advances in Neural Information Processing Systems

Yaroslav Kivva

Saber Salehkaleybar

Negar Kiyavash

2024/2/13

Causal imitability under context-specific independence relations

Advances in Neural Information Processing Systems

Fateme Jamshidi

Sina Akbari

Negar Kiyavash

2024/2/13

Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data

Yuqin Yang

Saber Salehkaleybar

Negar Kiyavash

2024/4/18

Analysis of Large Market Data Using Neural Networks: A Causal Approach

IEEE Journal on Selected Areas in Information Theory

Marc-Aurèle Divernois

Jalal Etesami

Damir Filipovic

Negar Kiyavash

2024/1/16

s-id: Causal effect identification in a sub-population

Proceedings of the AAAI Conference on Artificial Intelligence

Amir Mohammad Abouei

Ehsan Mokhtarian

Negar Kiyavash

2024/3/24

Confounded budgeted causal bandits

arXiv preprint arXiv:2401.07578

Fateme Jamshidi

Jalal Etesami

Negar Kiyavash

2024/1/15

Non-linear Triple Changes Estimator for Targeted Policies

arXiv preprint arXiv:2402.12583

Sina Akbari

Negar Kiyavash

2024/2/19

A unified experiment design approach for cyclic and acyclic causal models

Journal of Machine Learning Research

Ehsan Mokhtarian

Saber Salehkaleybar

AmirEmad Ghassami

Negar Kiyavash

2023

Causal discovery via monotone triangular transport maps

Sina Akbari

Luca Ganassali

Negar Kiyavash

2023/12/28

Gaussian Database Alignment and Gaussian Planted Matching

arXiv preprint arXiv:2307.02459

Osman Emre Dai

Daniel Cullina

Negar Kiyavash

2023/7/5

On identifiability of conditional causal effects

Yaroslav Kivva

Jalal Etesami

Negar Kiyavash

2023/7/2

Modeling Systemic Risk: A Time-Varying Nonparametric Causal Inference Framework

arXiv preprint arXiv:2312.16707

Jalal Etesami

Ali Habibnia

Negar Kiyavash

2023/12/27

Novel ordering-based approaches for causal structure learning in the presence of unobserved variables

Proceedings of the AAAI Conference on Artificial Intelligence

Ehsan Mokhtarian

Mohmmadsadegh Khorasani

Jalal Etesami

Negar Kiyavash

2023/6/26

Efficiently Escaping Saddle Points for Non-Convex Policy Optimization

arXiv preprint arXiv:2311.08914

Sadegh Khorasani

Saber Salehkaleybar

Negar Kiyavash

Niao He

Matthias Grossglauser

2023/11/15

Causal bandits without graph learning

arXiv preprint arXiv:2301.11401

Mikhail Konobeev

Jalal Etesami

Negar Kiyavash

2023/1/26

CausalCite: A causal formulation of paper citations

arXiv preprint arXiv:2311.02790

Ishan Kumar

Zhijing Jin

Ehsan Mokhtarian

Siyuan Guo

Yuen Chen

...

2023/11/5

Editorial Special Issue on Causality: Fundamental Limits and Applications

IEEE Journal on Selected Areas in Information Theory

Negar Kiyavash

Elias Bareinboim

Todd Coleman

Alex Dimakis

Bernhard Schlkopf

...

2023

On sample complexity of conditional independence testing with Von Mises estimator with application to causal discovery

arXiv preprint arXiv:2310.13553

Fateme Jamshidi

Luca Ganassali

Negar Kiyavash

2023/10/20

Causal discovery in linear structural causal models with deterministic relations

Yuqin Yang

Mohamed S Nafea

AmirEmad Ghassami

Negar Kiyavash

2022/6/28

See List of Professors in Negar Kiyavash University(École Polytechnique Fédérale de Lausanne)

Co-Authors

academic-engine