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Learning Equilibria in Stochastic Information Flow Tracking Games with Partial Knowledge.

, , , , , , and . CDC, page 4053-4060. IEEE, (2019)

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Approximating Constrained Minimum Cost Input-Output Selection for Generic Arbitrary Pole Placement in Structured Systems., , and . CoRR, (2017)Decentralized Low Rank Matrix Recovery from Column-Wise Projections by Alternating GD and Minimization., and . ICASSP, page 12936-12940. IEEE, (2024)Multi-stage Dynamic Information Flow Tracking Game., , , , , and . GameSec, volume 11199 of Lecture Notes in Computer Science, page 80-101. Springer, (2018)Federated Learning for Heterogeneous Bandits with Unobserved Contexts., and . ISIT, page 2086-2091. IEEE, (2024)Feature Selection in Distributed Stochastic Linear Bandits., and . ACC, page 3939-3944. IEEE, (2023)A Game Theoretic Approach for Dynamic Information Flow Tracking to Detect Multi-Stage Advanced Persistent Threats., , , , , , and . CoRR, (2018)Dynamic Information Flow Tracking Games for Simultaneous Detection of Multiple Attackers., , , , , , and . CDC, page 567-574. IEEE, (2019)Fast and Sample-Efficient Relevance-Based Multi-Task Representation Learning., and . IEEE Control. Syst. Lett., (2024)Minimum Cost Feedback Selection for Arbitrary Pole Placement in Structured Systems., , and . IEEE Trans. Automat. Contr., 63 (11): 3881-3888 (2018)Fully Decentralized and Federated Low Rank Compressive Sensing., and . ACC, page 1491-1496. IEEE, (2022)