Omid Memarrast

According to our database, Omid Memarrast authored at least 7 papers between 2019 and 2025.

Collaborative distances:

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

2025

S2SRec2: Set‑to‑Set Recommendation for Basket Completion with Recipe.

Yanan Cao, Omid Memarrast, Shiqin Cai, Sinduja Subramaniam, Evren Körpeoglu, Kannan Achan

Proceedings of the ACM SIGIR Workshop on eCommerce 2025 co-located with the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025), 2025

2023

Fairness for Robust Learning to Rank.

Omid Memarrast, Ashkan Rezaei, Rizal Fathony, Brian D. Ziebart

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Superhuman Fairness.

Omid Memarrast, Linh Vu, Brian D. Ziebart

Proceedings of the International Conference on Machine Learning, 2023

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, Rabeeh Karimi Mahabadi, 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

Trans. Assoc. Comput. Linguistics, 2021

Robust Fairness Under Covariate Shift.

Ashkan Rezaei, Anqi Liu, Omid Memarrast, Brian D. Ziebart

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Fairness for Robust Log Loss Classification.

Ashkan Rezaei, Rizal Fathony, Omid Memarrast, Brian D. Ziebart

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Fair Logistic Regression: An Adversarial Perspective.

Ashkan Rezaei, Rizal Fathony, Omid Memarrast, Brian D. Ziebart

CoRR, 2019