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Dionysius: A Framework for Modeling Hierarchical User Interactions in Recommender Systems., , , и . CoRR, (2017)Models and algorithms for data privacy.. Stanford University, USA, (2006)Privacy via the Johnson-Lindenstrauss Transform., , , и . J. Priv. Confidentiality, (2013)Our Data, Ourselves: Privacy Via Distributed Noise Generation., , , , и . EUROCRYPT, том 4004 из Lecture Notes in Computer Science, стр. 486-503. Springer, (2006)Bringing Salary Transparency to the World: Computing Robust Compensation Insights via LinkedIn Salary., , , и . CIKM, стр. 447-455. ACM, (2017)Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned., , , , и . KDD, стр. 3205-3206. ACM, (2019)Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models., , , , , , и . KDD, стр. 3671-3681. ACM, (2022)Multiaccurate Proxies for Downstream Fairness., , , , , и . FAccT, стр. 1207-1239. ACM, (2022)Designing Closed-Loop Models for Task Allocation., , , и . HHAI, том 368 из Frontiers in Artificial Intelligence and Applications, стр. 17-32. IOS Press, (2023)Tutorials at The Web Conference 2023., , , , , , , , , и 86 other автор(ы). WWW (Companion Volume), стр. 648-658. ACM, (2023)