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)

GeneDisco: A Benchmark for Experimental Design in Drug Discovery. - Arash Mehrjou; Ashkan Soleymani; Andrew Jesson; Pascal Notin; Yarin Gal; Stefan Bauer; Patrick Schwab (ICLR, 2022)

Physical Derivatives: Computing policy gradients by physical forward-propagation. - Arash Mehrjou; Ashkan Soleymani; Stefan Bauer; Bernhard Schölkopf (CoRR, 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)

Causal Feature Selection via Orthogonal Search. - Ashkan Soleymani; Anant Raj; Stefan Bauer; Bernhard Schölkopf; Michel Besserve (Trans. Mach. Learn. Res., 2022)

DRCFS: Doubly Robust Causal Feature Selection. - Francesco Quinzan; Ashkan Soleymani; Patrick Jaillet; Cristian R. Rojas; Stefan Bauer (ICML, 2023)

Doubly Robust Structure Identification from Temporal Data. - Emmanouil Angelis; Francesco Quinzan; Ashkan Soleymani; Patrick Jaillet; Stefan Bauer (CoRR, 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., 2023)

Learning Decision Policies with Instrumental Variables through Double Machine Learning. - Daqian Shao; Ashkan Soleymani; Francesco Quinzan; Marta Kwiatkowska (ICML, 2024)

A Universal Class of Sharpness-Aware Minimization Algorithms. - Behrooz Tahmasebi; Ashkan Soleymani; Dara Bahri; Stefanie Jegelka; Patrick Jaillet (ICML, 2024)

A Robust Kernel Statistical Test of Invariance: Detecting Subtle Asymmetries. - Ashkan Soleymani; Behrooz Tahmasebi; Stefanie Jegelka; Patrick Jaillet (AISTATS, 2025)

Cautious Optimism: A Meta-Algorithm for Near-Constant Regret in General Games. - Ashkan Soleymani; Georgios Piliouras; Gabriele Farina (EC, 2025)

Faster Rates for No-Regret Learning in General Games via Cautious Optimism. - Ashkan Soleymani; Georgios Piliouras; Gabriele Farina (STOC, 2025)

Learning with Exact Invariances in Polynomial Time. - Ashkan Soleymani; Behrooz Tahmasebi; Stefanie Jegelka; Patrick Jaillet (CoRR, 2025)

Double Machine Learning for Conditional Moment Restrictions: IV Regression, Proximal Causal Learning and Beyond. - Daqian Shao; Ashkan Soleymani; Francesco Quinzan; Marta Kwiatkowska (CoRR, 2025)

Data Generation without Function Estimation. - Hadi Daneshmand; Ashkan Soleymani (CoRR, 2025)