Ashkan Soleymani

According to our database, Ashkan Soleymani authored at least 17 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Data Generation without Function Estimation.

Hadi Daneshmand, Ashkan Soleymani

CoRR, July, 2025

Double Machine Learning for Conditional Moment Restrictions: IV Regression, Proximal Causal Learning and Beyond.

Daqian Shao, Ashkan Soleymani, Francesco Quinzan, Marta Kwiatkowska

CoRR, June, 2025

Learning with Exact Invariances in Polynomial Time.

Ashkan Soleymani, Behrooz Tahmasebi, Stefanie Jegelka, Patrick Jaillet

CoRR, February, 2025

Double Machine Learning Based Structure Identification from Temporal Data.

Emmanouil Angelis, Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Stefan Bauer

Trans. Mach. Learn. Res., 2025

Faster Rates for No-Regret Learning in General Games via Cautious Optimism.

Ashkan Soleymani, Georgios Piliouras, Gabriele Farina

Proceedings of the 57th Annual ACM Symposium on Theory of Computing, 2025

Cautious Optimism: A Meta-Algorithm for Near-Constant Regret in General Games.

Ashkan Soleymani, Georgios Piliouras, Gabriele Farina

Proceedings of the 26th ACM Conference on Economics and Computation, 2025

A Robust Kernel Statistical Test of Invariance: Detecting Subtle Asymmetries.

Ashkan Soleymani, Behrooz Tahmasebi, Stefanie Jegelka, Patrick Jaillet

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

A Universal Class of Sharpness-Aware Minimization Algorithms.

Behrooz Tahmasebi, Ashkan Soleymani, Dara Bahri, Stefanie Jegelka, Patrick Jaillet

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning Decision Policies with Instrumental Variables through Double Machine Learning.

Daqian Shao, Ashkan Soleymani, Francesco Quinzan, Marta Kwiatkowska

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Pyfectious: An individual-level simulator to discover optimal containment policies for epidemic diseases.

Arash Mehrjou, Ashkan Soleymani, Amin Abyaneh, Samir Bhatt, Bernhard Schölkopf, Stefan Bauer

PLoS Comput. Biol., January, 2023

Doubly Robust Structure Identification from Temporal Data.

Emmanouil Angelis, Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Stefan Bauer

CoRR, 2023

DRCFS: Doubly Robust Causal Feature Selection.

Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Cristian R. Rojas, Stefan Bauer

Proceedings of the International Conference on Machine Learning, 2023

2022

Causal Feature Selection via Orthogonal Search.

Ashkan Soleymani, Anant Raj, Stefan Bauer, Bernhard Schölkopf, Michel Besserve

Trans. Mach. Learn. Res., 2022

Federated Learning in Multi-Center Critical Care Research: A Systematic Case Study using the eICU Database.

Arash Mehrjou, Ashkan Soleymani, Annika Buchholz, Jürgen Hetzel, Patrick Schwab, Stefan Bauer

CoRR, 2022

Physical Derivatives: Computing policy gradients by physical forward-propagation.

Arash Mehrjou, Ashkan Soleymani, Stefan Bauer, Bernhard Schölkopf

CoRR, 2022

GeneDisco: A Benchmark for Experimental Design in Drug Discovery.

Arash Mehrjou, Ashkan Soleymani, Andrew Jesson, Pascal Notin, Yarin Gal, Stefan Bauer, Patrick Schwab

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Pyfectious: An individual-level simulator to discover optimal containment polices for epidemic diseases.

Arash Mehrjou, Ashkan Soleymani, Amin Abyaneh, Bernhard Schölkopf, Stefan Bauer

CoRR, 2021