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Subject : [math.math-oc]mathematics [math]/optimization and control [math.oc] Subject : optimization Subject : topology Geographic : united states
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Academic Journal

Teaching of Topology and Its Applications in Learning: A Bibliometric Meta-Analysis of the Last Years from the Scopus Database

Subjects: Topology; Mathematical Concepts; Mathematics InstructionUnited States; United Kingdom; Germany

  • Source: Mathematics Teaching Research Journal. Spr 2023 15(1):198-222.25

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Conference

Beyond Average Return in Markov Decision Processes

Subjects: Markov Decision Process; Dynamic Programming; statistical functionnalsNew Orleans; United States

  • Source: Thirty-seventh Conference on Neural Information Processing Systems ; Neurips 2023 ; https://hal.science/hal-04264487 ; Neurips 2023, Dec 2023, New Orleans, United States

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Full Gradient Deep Reinforcement Learning for Average-Reward Criterion

Subjects: Markov decision processes; average reward; Full Gradient DQN algorithmUnited StatesPhiladelphia, United States

  • Source: Proceedings of Machine Learning Research (PMLR) ; L4DC - The 5th Annual Learning for Dynamics and Control Conference ; https://inria.hal.science/hal-04372096 ; L4DC - The 5th Annual Learning for

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Does a sparse ReLU network training problem always admit an optimum?

Subjects: Topology; Best Approximation Property; Sparse ReLU Neural NetworkNew Orleans (Lousiane); United States

  • Source: NeurIPS 2023 - Thirty-seventh Conference on Neural Information Processing Systems ; https://inria.hal.science/hal-04108849 ; NeurIPS 2023 - Thirty-seventh Conference on Neural Information Processing

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Computing a Dirichlet Domain for a Hyperbolic Surface

Subjects: 2012 ACM Subject Classification Mathematics of computing → Geometric topology; Theory of computation → Computational geometry phrases Hyperbolic geometry Topology Voronoi diagram Algorithm; Theory of computation → Computational geometry phrases Hyperbolic geometryDallas; United States

  • Source: Leibniz International Proceedings in Informatics (LIPIcs) ; 39th International Symposium on Computational Geometry (SoCG 2023) ; https://inria.hal.science/hal-04125470 ; 39th International Symposium

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Bilinear Exponential Family of MDPs: Frequentist Regret Bound with Tractable Exploration & Planning

Subjects: [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]Washignton DC; United StatesWashignton DC, United States

  • Source: Proceedings of the AAAI Conference on Artificial Intelligence ; https://hal.science/hal-03790997 ; Proceedings of the AAAI Conference on Artificial Intelligence, Feb 2023, Washignton DC,

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A Generic Beach Morphodynamic Model by Minimization Principle

Subjects: [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]; [SDU.OCEAN]Sciences of the Universe [physics]/Ocean; AtmosphereSan Francisco; United States

  • Source: AGU 2023 ; https://hal.science/hal-04559457 ; AGU 2023, Dec 2023, San Francisco, United States

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Rethinking Gauss-Newton for learning over-parameterized models ; Repenser Gauss-Newton pour l'apprentissage de modèles sur-paramétrés

Subjects: Gauss Newton method; Neural netwoks; OptimizationLa Nouvelle-Orléans; United States

  • Source: NeurIPS 2023 - Thirty-seventh Conference on Neural Information Processing Systems ; https://hal.science/hal-04362139 ; NeurIPS 2023 - Thirty-seventh Conference on Neural Information Processing

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Exploiting hidden structures in non-convex games for convergence to Nash equilibrium

Subjects: Non-convex games; Hidden games; Stochastic algorithmsNew Orleans (LA); United States

  • Source: Proceedings of the 37th International Conference on Neural Information Processing Systems ; NeurIPS 2023 - 37th Conference on Neural Information Processing Systems ;

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Riemannian stochastic optimization methods avoid strict saddle points

Subjects: Optimization on manifolds; Stochastic approximation; Saddle-point avoidanceNew Orleans (LA); United States

  • Source: Riemannian stochastic optimization methods avoid strict saddle points ; NeurIPS 2023 - 37th Conference on Neural Information Processing Systems ;

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  • 1-10 of  1,196 results for ""Mathematics""