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cs.LG2025
S2SRec2: Set-to-Set Recommendation for Basket Completion with Recipe
Yanan Cao, Omid Memarrast, Shiqin Cai +3
In grocery e-commerce, customers often build ingredient baskets guided by dietary preferences but lack the expertise to create complete meals. Leveraging recipe knowledge to recomm…
cs.LG2020
Robust Fairness under Covariate Shift
Ashkan Rezaei, Anqi Liu, Omid Memarrast +1
Making predictions that are fair with regard to protected group membership (race, gender, age, etc.) has become an important requirement for classification algorithms. Existing tec…
cs.LG2019
Fairness for Robust Log Loss Classification
Ashkan Rezaei, Rizal Fathony, Omid Memarrast +1
Developing classification methods with high accuracy that also avoid unfair treatment of different groups has become increasingly important for data-driven decision making in socia…