Publications

• Superhuman Fairness [Paper][Poster][Code]
  Omid Memarrast, Linh Vu, Brian D. Ziebart.
  In International Conference on Machine Learning, pp. 24420-24435. PMLR, 2023.

• Fairness for Robust Learning to Rank [Paper][Code]
  Omid Memarrast, Ashkan Rezaei, Rizal Fathony, Brian D. Ziebart.
  In Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 544-556. Cham: Springer Nature Switzerland, 2023.

• ParsiNLU: A Suite of Language Understanding Challenges for Persian [Paper] [Code]
  Daniel Khashabi, Arman Cohan, Siamak Shakeri, Pedram Hosseini, Pouya Pezeshkpour, Malihe Alikhani, Moin Aminnaseri, Marzieh Bitaab, Faeze Brahman, Sarik Ghazarian, Mozhdeh Gheini, Arman Kabiri, Rabeeh Karimi Mahabagdi, Omid Memarrast, Ahmadreza Mosallanezhad, Erfan Noury, Shahab Raji, Mohammad Sadegh Rasooli, Sepideh Sadeghi, Erfan Sadeqi Azer, Niloofar Safi Samghabadi, Mahsa Shafaei, Saber Sheybani, Ali Tazarv, Yadollah Yaghoobzadeh.
  Transactions of the Association for Computational Linguistics 9 (2021): 1147-1162.

• Robust Fairness Under Covariate Shift [Paper][Code]
  Ashkan Rezaei, Anqi Liu, Omid Memarrast, Brian D. Ziebart.
  In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, no. 11, pp. 9419-9427. 2021.

• Fairness for Robust Log Loss Classification [Paper][Code]
  Ashkan Rezaei, Rizal Fathony, Omid Memarrast, Brian D. Ziebart.
  In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 34, no. 04, pp. 5511-5518. 2020.

Workshop Papers

• Superhuman Fairness [Paper]
  Omid Memarrast, Linh Vu, Brian D. Ziebart.
  In ICLR 2023 Workshop on Pitfalls of limited data and computation for Trustworthy ML. 2023.

• Fairness for Robust Learning to Rank [Poster]
  Omid Memarrast, Ashkan Rezaei, Rizal Fathony, Brian D. Ziebart.
  In NeurIPS Workshop on Algorithmic Fairness through the Lens of Causality and Robustness, 2021.

• Robust Fairness Under Covariate Shift [Poster]
  Ashkan Rezaei, Anqi Liu, Omid Memarrast, Brian D. Ziebart.
  In NeurIPS Workshop on Algorithmic Fairness through the Lens of Causality and Interpretability, 2020.

• Fairness for Robust Log Loss Classification [Poster]
  Ashkan Rezaei, Rizal Fathony, Omid Memarrast, Brian D. Ziebart.
  In NeurIPS Workshop on Machine Learning with Guarantees, 2019.