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Incentive Mechanisms for Strategic Classification and Regression Problems.

, , , , и . EC, стр. 760-790. ACM, (2022)

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Mohammad Mahdi Motazacker

Mohammad Mahdi Khafaji

Shahla Mahdizadeh

Arzhang Khalili

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Designing Cyber Insurance Policies: The Role of Pre-Screening and Security Interdependence., , и . IEEE Trans. Inf. Forensics Secur., 13 (9): 2226-2239 (2018)Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms., , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 5791-5800. PMLR, (2018)Improving Fairness and Privacy in Selection Problems., , , и . CoRR, (2020)Games on Networks with Community Structure: Existence, Uniqueness and Stability of Equilibria., , и . ACC, стр. 4664-4670. IEEE, (2020)Designing cyber insurance policies in the presence of security interdependence., , и . NetEcon@EC, стр. 7:1-7:6. ACM, (2017)Loss Balancing for Fair Supervised Learning., , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 16271-16290. PMLR, (2023)Incentive Mechanisms for Strategic Classification and Regression Problems., , , , и . EC, стр. 760-790. ACM, (2022)Federated Learning with Reduced Information Leakage and Computation., , , и . CoRR, (2023)Embracing risk dependency in designing cyber-insurance contracts., , и . Allerton, стр. 926-933. IEEE, (2017)Recycled ADMM: Improve Privacy and Accuracy with Less Computation in Distributed Algorithms., , и . Allerton, стр. 959-965. IEEE, (2018)