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Conference

Routing optimization based on DRL and Generative Adversarial Networks for SDN environments

Subjects: SDN Routing Optimization Deep Reinforcement Learning Generative Adversarial Networks; SDN; Routing OptimizationSeoul (Korea); South Korea

  • Source: IEEE/IFIP Network Operations and Management Symposium ; https://laas.hal.science/hal-04549760 ; IEEE/IFIP Network Operations and Management Symposium, IEEE, May 2024, Seoul (Korea), South Korea ;

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Academic Journal

A survey on scenario theory, complexity and compression-based learning and generalization

Subjects: Generalization theory scenario optimization PAC Compression Agnostic learning support vector Classifiers; Generalization theory; scenario optimization

  • Source: ISSN: 2162-237X ; IEEE Transactions on Neural Networks and Learning Systems ; https://minesparis-psl.hal.science/hal-04457082 ; IEEE Transactions on Neural Networks and Learning Systems, 2024, 103,

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Academic Journal

iTEVAC: an enhanced trusted evacuation system leveraging fog computing and IoT

Subjects: Dijkstra evacuation optimization trusted path IoT; Dijkstra; evacuation

  • Source: ISSN: 2475-1847 ; Journal of Information and Telecommunication ; https://cnam.hal.science/hal-04499928 ; Journal of Information and Telecommunication, In press,

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Conference

ParameTrick: Coefficient Generalization for Faster Polyhedral Scheduling

Subjects: polyhedral scheduler; polyhedral optimization; integer linear programmingMunich; Germany

  • Source: IMPACT 2024, 14th International Workshop on Poyhedral Compilation Techniques ; https://hal.science/hal-04466672 ; IMPACT 2024, 14th International Workshop on Poyhedral Compilation Techniques, Jan

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Conference

A lower bound and a near-optimal algorithm for bilevel empirical risk minimization

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Optimization and Control (math.OC)Valencia; Spain

  • Source: International Conference on Artificial Intelligence and Statistics (AISTATS) ; https://hal.science/hal-04302861 ; International Conference on Artificial Intelligence and Statistics (AISTATS), May

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Conference

A stochastic model for controlling friends and family investment in crowdfunding

Subjects: Crowdfunding campaigns; Stochastic Model; OptimizationAmiens; France

  • Source: 25ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, ROADEF 2024https://hal.science/hal-0450910225ème congrès annuel de la Société

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