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Negar Kiyavash

École Polytechnique Fédérale de Lausanne (from arXiv:2312.16707, 2023) · ORCID · OpenAlex

36 papers in scope · 33 published · 3 on the econ.EM arXiv · 487 citations · h-index 14 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Beatrice Biondi
  2. Silvia De Nicolò
  3. Mario Mazzocchi
  4. Castiel Chen Zhuang
  5. Pedro H. C. Sant’Anna
  6. Andrew Goodman-Bacon
  7. Philippe Rigollet
  8. William Torous
  9. Alan Hao Yang
  10. David J. Richardson
  11. Qi Xu
  12. Brantly Callaway
  13. AmirEmad Ghassami
  14. Sina Akbari
  15. Ilya Shpitser
  16. Jonathan Roth
  17. Michael Zimmert
  18. Florian Gunsilius
  19. Eric Tchetgen Tchetgen
  20. Laura Caron

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(3 of 36)

Recursive Causal Discovery (Abstract Reprint)
published2026 · Proceedings of the AAAI Conference on Artificial Intelligence
with Ehsan Mokhtarian, Sepehr Elahi, Sina Akbari
working paper2025 · arXiv
s-ID: Causal Effect Identification in a Sub-population
published2024 · Proceedings of the AAAI Conference on Artificial Intelligence · first circulated 2023
with Amir Mohammad Abouei, Ehsan Mokhtarian
working paper2024 · arXiv
working paper2023 · arXiv · 3 citations
Novel Ordering-Based Approaches for Causal Structure Learning in the Presence of Unobserved Variables
published2023 · Proceedings of the AAAI Conference on Artificial Intelligence · 3 citations · first circulated 2022
with Ehsan Mokhtarian, Mohmmadsadegh Khorasani, Jalal Etesami, Mohammadsadegh Khorasani
Editorial Special Issue on Causality: Fundamental Limits and Applications
published2023 · IEEE Journal on Selected Areas in Information Theory
with Elias Bareinboim, Todd P. Coleman, Alex Dimakis, Bernhard Schlkopf, Peter Spirtes, Kun Zhang, Robert Nowak
Analysis of Large Market Data Using Neural Networks: A Causal Approach
published2023 · IEEE Journal on Selected Areas in Information Theory
with Marc-Aurèle Divernois, Jalal Etesami, Damir Filipović
Learning Bayesian Networks in the Presence of Structural Side Information
published2022 · Proceedings of the AAAI Conference on Artificial Intelligence · 6 citations · first circulated 2021
with Ehsan Mokhtarian, Sina Akbari, Fateme Jamshidi, Jalal Etesami
Optimal Adversarial Policies in the Multiplicative Learning System With a Malicious Expert
published2021 · IEEE Transactions on Information Forensics and Security · 2 citations · first circulated 2020
with S. Rasoul Etesami, Vincent Léon, H. Vincent Poor
Graph Signal Processing: Foundations and Emerging Directions [From the Guest Editors]
published2020 · IEEE Signal Processing Magazine · 26 citations
with Antonio G. Marqués, José M. F. Moura, Dimitri Van De Ville, Rebecca Willett
Partial Recovery of Erdős-Rényi Graph Alignment via k-Core Alignment
published2020 · ACM SIGMETRICS Performance Evaluation Review · 15 citations · first circulated 2018
with Daniel Cullina, Prateek Mittal, H. Vincent Poor
Counting and Sampling from Markov Equivalent DAGs Using Clique Trees
published2019 · Proceedings of the AAAI Conference on Artificial Intelligence · 14 citations · first circulated 2018
with AmirEmad Ghassami, Saber Salehkaleybar, Kun Zhang
Asymptotic analysis for multi-objective sequential stochastic assignment problems
published2019 · Stochastics · 2 citations
with Yu Ge, Sheldon H. Jacobson
Learning From Sleeping Experts
published2018 · ACM Transactions on Design Automation of Electronic Systems
with Anh Truong, S. Rasoul Etesami
Guest Editorial: Special Issue on Causal Discovery 2017
published2018 · International Journal of Data Science and Analytics · 1 citations
with Lin Liu, Jiuyong Li, Kun Zhang, Emre Kıcıman
Learning Vector Autoregressive Models With Latent Processes
published2018 · Proceedings of the AAAI Conference on Artificial Intelligence · 1 citations · first circulated 2017
with Saber Salehkaleybar, Jalal Etesami, Kun Zhang
Predictive Approximate Bayesian Computation via Saddle Points
published2018 · Neural Information Processing Systems · 1 citations
with Yingxiang Yang, Bo Dai, Niao He
Optimal Attack Strategies Against Predictors - Learning From Expert Advice
published2017 · IEEE Transactions on Information Forensics and Security · 13 citations
with Anh Truong, S. Rasoul Etesami, Jalal Etesami
Phonion: Practical Protection of Metadata in Telephony Networks
published2016 · Proceedings on Privacy Enhancing Technologies · 11 citations
with Stephan Heuser, Bradley Reaves, Praveen Kumar Pendyala, Henry Carter, Alexandra Dmitrienko, William Enck, Ahmad-Reza Sadeghi, Patrick Traynor
Measuring Causal Relationships in Dynamical Systems through Recovery of Functional Dependencies
published2016 · IEEE Transactions on Signal and Information Processing over Networks · 18 citations
Learning Minimal Latent Directed Information Polytrees
published2016 · Neural Computation · 25 citations
with Jalal Etesami, Todd P. Coleman
Improved Achievability and Converse Bounds for Erdos-Renyi Graph Matching
published2016 · ACM SIGMETRICS Performance Evaluation Review · 68 citations
with Daniel Cullina
Generalized Sphere-Packing Bounds on the Size of Codes for Combinatorial Channels
published2016 · IEEE Transactions on Information Theory · 13 citations · first circulated 2014
with Daniel Cullina
Restricted Composition Deletion Correcting Codes
published2016 · IEEE Transactions on Information Theory · 11 citations
with Daniel Cullina, Ankur A. Kulkarni
Directed Information Graphs
published2015 · IEEE Transactions on Information Theory · 14 citations
with Christopher J. Quinn, Todd P. Coleman
Quantifying the Information Leakage in Timing Side Channels in Deterministic Work-Conserving Schedulers
published2015 · IEEE/ACM Transactions on Networking · 19 citations · first circulated 2014
with Xun Gong
Mitigating Timing Side Channel in Shared Schedulers
published2015 · IEEE/ACM Transactions on Networking · 21 citations
with Sachin Kadloor, Parv Venkitasubramaniam
Delay-Privacy Tradeoff in the Design of Scheduling Policies
published2015 · IEEE Transactions on Information Theory · 3 citations
with Sachin Kadloor
An Improvement to Levenshtein's Upper Bound on the Cardinality of Deletion Correcting Codes
published2014 · IEEE Transactions on Information Theory · 40 citations · first circulated 2013
with Daniel Cullina
Preventing Timing Analysis in Networks: A Statistical Inference Perspective
published2013 · IEEE Signal Processing Magazine · 6 citations
with Sachin Kadloor, Parv Venkitasubramaniam
Non-Blind Watermarking of Network Flows
published2013 · IEEE/ACM Transactions on Networking · 43 citations · first circulated 2012
with Amir Houmansadr, Nikita Borisov
Efficient Methods to Compute Optimal Tree Approximations of Directed Information Graphs
published2013 · IEEE Transactions on Signal Processing · 34 citations
with Christopher J. Quinn, Todd P. Coleman
Nonasymptotic Upper Bounds for Deletion Correcting Codes
published2013 · IEEE Transactions on Information Theory · 11 citations
with Ankur A. Kulkarni
Fingerprinting With Equiangular Tight Frames
published2013 · IEEE Transactions on Information Theory · 43 citations · first circulated 2011
with Dustin G. Mixon, Christopher J. Quinn, Matthew Fickus
Designing Router Scheduling Policies: A Privacy Perspective
published2012 · IEEE Transactions on Signal Processing · 20 citations
with Sachin Kadloor, Xun Gong, Parv Venkitasubramaniam

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.