Akbari, Sina;Etesami, Jalal;Kiyavash, Negar
Optimal Experiment Design for Causal Effect Identification
Journal of Machine Learning Research
2025
26
28
1--56

Divernois, Marc-Aurèle;Etesami, Jalal;Filipovic, Damir;Kiyavash, Negar
Analysis of Large Market Data Using Neural Networks: A Causal Approach
IEEE Journal on Selected Areas in Information Theory
2023
4
833-847

Elahi, Sepehr;Akbari, Sina;Etesami, Jalal;Kiyavash, Negar;Thiran, Patrick
Fast Proxy Experiment Design for Causal Effect Identification
Advances in Neural Information Processing Systems
Curran Associates, Inc.
2024

Jamshidi, Fateme;Etesami, Jalal;Kiyavash, Negar
Confounded Budgeted Causal Bandits
Proceedings of the Third Conference on Causal Learning and Reasoning
PMLR
2024

Konobeev, Mikhail;Etesami, Jalal;Kiyavash, Negar
Causal Bandits without Graph Learning
Proceedings of the Fourth Conference on Causal Learning and Reasoning
PMLR
2025

Tramontano, Daniele;Kivva, Yaroslav;Salehkaleybar, Saber;Drton, Mathias;Kiyavash, Negar
Causal Effect Identification in LiNGAM Models with Latent Confounders
Proceedings of Machine Learning Research
2024

Strieder, David;Drton, Mathias
Identifying Total Causal Effects in Linear Models under Partial Homoscedasticity
Proceedings of Machine Learning Research
ML Research Press
2024

Strieder, David;Drton, Mathias
Dual Likelihood for Causal Inference under Structure Uncertainty
Proceedings of Machine Learning Research
2024

Liang, Yurou;Zadorozhnyi, Oleksandr;Drton, Mathias
Kernel-Based Differentiable Learning of Non-Parametric Directed Acyclic Graphical Models
Proceedings of Machine Learning Research
ML Research Press
2024

Göbler, Konstantin;Windisch, Tobias;Drton, Mathias;Pychynski, Tim;Roth, Martin;Sonntag, Steffen
causalAssembly: Generating Realistic Production Data for Benchmarking Causal Discovery
Proceedings of Machine Learning Research
2024