Fair Logistic Regression: An Adversarial Perspective. - Ashkan Rezaei; Rizal Fathony; Omid Memarrast; Brian D. Ziebart (CoRR, 2019)

Fairness for Robust Log Loss Classification. - Ashkan Rezaei; Rizal Fathony; Omid Memarrast; Brian D. Ziebart (AAAI, 2020)

Robust Fairness Under Covariate Shift. - Ashkan Rezaei; Anqi Liu; Omid Memarrast; Brian D. Ziebart (AAAI, 2021)

ParsiNLU: A Suite of Language Understanding Challenges for Persian. - Daniel Khashabi; Arman Cohan; Siamak Shakeri; Pedram Hosseini; Pouya Pezeshkpour; Malihe Alikhani; Moin Aminnaseri; Marzieh Bitaab; Faeze Brahman; Sarik Ghazarian; Mozhdeh Gheini; Arman Kabiri; et al. (Trans. Assoc. Comput. Linguistics, 2021)

Superhuman Fairness. - Omid Memarrast; Linh Vu; Brian D. Ziebart (ICML, 2023)

Fairness for Robust Learning to Rank. - Omid Memarrast; Ashkan Rezaei; Rizal Fathony; Brian D. Ziebart (PAKDD (1), 2023)

S2SRec2: Set-to-Set Recommendation for Basket Completion with Recipe. - Yanan Cao; Omid Memarrast; Shiqin Cai; Sinduja Subramaniam; Evren Körpeoglu; Kannan Achan (CoRR, 2025)