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The Global Landscape of Neural Networks: An Overview., , , , и . IEEE Signal Process. Mag., 37 (5): 95-108 (2020)Relationship between decentralized controller design using H∞ and stochastic risk-averse criteria.. IEEE Trans. Autom. Control., 39 (4): 861-864 (1994)Analysis and design of an adaptive virtual queue (AVQ) algorithm for active queue management., и . SIGCOMM, стр. 123-134. ACM, (2001)Bounds on the Sum Timing Capacity of Single-server Queues with Multiple Input and Output Terminals., и . Advances in Network Information Theory, том 66 из DIMACS Series in Discrete Mathematics and Theoretical Computer Science, стр. 107-125. DIMACS/AMS, (2003)Learning to Control Renewal Processes with Bandit Feedback., , и . SIGMETRICS (Abstracts), стр. 41-42. ACM, (2019)How Good are Deterministic Fluid Models of Internet Congestion Control?, и . INFOCOM, стр. 497-505. IEEE Computer Society, (2002)End-to-End Congestion Control Schemes: Utility Functions, Random Losses and ECN Marks., и . INFOCOM, стр. 1323-1332. IEEE Computer Society, (2000)Rate-based versus queue-based models of congestion control., и . IEEE Trans. Automat. Contr., 51 (4): 606-619 (2006)Global stability of congestion controllers for the Internet., и . IEEE Trans. Automat. Contr., 48 (6): 1055-1060 (2003)Nash equilibria for combined flow control and routing in networks: asymptotic behavior for a large number of users., , и . IEEE Trans. Automat. Contr., 47 (6): 917-930 (2002)