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首页 > 合作交流 > 2024年优化理论与方法研讨会 > 大会报告

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2024.12.17

学术讲座

讲座预告丨赵世振：Building Hybrid Optoelectronic Data Center Networks

2024.12.17

学术讲座

讲座预告丨陈卫：Unveiling The Planning Capability of Autoregressive Learning in Language Models

2024.12.17

师资队伍

2024.12.16

学术讲座

南加州大学滕尚华教授探秘计算科学模糊概念的创新之旅

2024.12.13

博士后

2024.12.13

数学师资

大会报告

报告1：Stochastic and Distributionally Robust Optimization for Pure Characteristics Demand Models

2024-10-21

报告2：Stochastic gradient methods for solving a class of composite stochastic minimax problems

2024-10-21

报告3：Actor-Critic Reinforcement Learning Algorithms for Mean Field Games in Continuous time, State and Action Spaces

2024-10-21

报告4：Universal Gradient Descent Ascent Method for Smooth Minimax Optimization

2024-10-21

报告5： GPU架构下的数学规划算法

2024-10-21

报告6：Federated Learning on Riemannian Manifolds with Differential Privacy

2024-10-21

报告7：On the Global R-linear Convergence of NAG Method and Beyond

2024-10-21

报告8：Accelerated Decentralized Gradient Method Over Unbalanced Directed Graphs

2024-10-21

报告9：Local Geometry Determines Global Landscape in Low-Rank Factorization for Synchronization

2024-10-21

报告10：Discretization and Quantification for Distributionally Robust Optimization with Decision-Dependent Ambiguity Sets

2024-10-21

报告11：基于SLeM学习框架的学习率自设定方法

2024-10-21

报告13：Understanding and Improving LLM Training: Insights into Adam and Advent of Adam-mini

2024-10-21

报告14：Accelerated Gradient Descent by Concatenation of Stepsize Schedules

2024-10-21

报告15：Inexact Newton Methods for Solving Generalized Equations on Riemannian Manifolds

2024-10-21

报告16：Penalty Decomposition Methods for Second-Best Congestion Pricing Problems on Large-Scale Networks

2024-10-21

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