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运筹学与控制论讨论班辛拓扑与物理讨论班几何分析讨论班动力系统讨论班分析和微分方程讨论班计算与应用讨论班表示论与数论讨论班概率统计讨论班其他

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05

2024-06

概率统计讨论班——金融机器学习模型的风险管理 Risk management for machine learning models in finance

报告人：陈当行（助理教授，昆山杜克大学）时间：6月11日下午2：00-3：00地点：海纳苑2幢102摘要：近年来，机器学习模型在许多领域取得了巨大成功。尽管与传统的数学统计模型相比，机器学习模型在精度上取得了极大提高，然而对于诸如金融等高风险领域，精度并不是唯一的考量标准。模型的透明性、可解释性、合理性以及公平性对于金融监管也至关重要。如果无法满足监管需求，即便是高精度的机器学习模型也难以被业界广泛使用。在这个...

10

2024-05

概率统计讨论班——Extension and subspaces of Dirichlet forms

报告人：应坚刚(复旦大学)时间：2024年5月10日下午14:00-15:00地点：海纳苑2幢105摘要：Dirichlet form is a symmetric bilinear form on L^2 space which satisfies so-called Markov property. It is known that a regular Dirichlet form, a Dirichlet form with dense continuous functions, corresponds to a symmetric Markov process. In this way, the bridge between analysis and probability was established. In this ...

06

2024-05

概率统计讨论班——Navigating the Challenges of Causal Inference: A Focus on Longitudinal Data

报告人：Andrew Ying(Google, Data Scientist)时间：2024年5月10日下午15:10-16:10地点：海纳苑2幢105摘要：Causal inference is a rapidly evolving discipline with applications across various fields. The gold standard for causal inference is a double-blinded randomized controlled trial (RCT), which ensures exchangeability between treatment and control groups. However, observational data are often used as ...

18

2024-04

概率统计讨论班——Byzantine-robust Distributed Learning under Heterogeneity via Convex Hull Search

05

2024-03

概率统计讨论班——United Seminar of the Department of Probability Theory of Moscow State Univeristy

13

2023-12

概率统计讨论班——Convergence analysis on the particle systems with centralized control

报告题目：Convergence analysis on the particle systems with centralized control报告人：周超副教授（新加坡国立大学）时间：2023年12月20日（周三）上午10：00开始地点：海纳苑2幢102摘要：This paper deals with the optimization problem of a class of controlled N-particle systems. We establish the regularity results, which is uniform in N, on the HJB equations corresponding to the N-particle system. The un...

09

2023-11

New asymptotics applied to functional coefficient regression and climate sensitivity analysis

09

2023-11

概率统计讨论班——New asymptotics applied to functional coefficient regression and climate sensitivity analysis

26

2023-09

概率统计讨论班—On Structurally Grouped Approximate Factor Models

报告题目：On Structurally Grouped Approximate Factor Models 报告人：涂云东教授（北京大学）时间：2023年10月7日（周六）下午3：00开始地点：浙江大学数学科学学院，海纳苑2幢206 摘要：This paper explores the group structure in large dimensional approximate factor models, which portrays homogeneous effects of the common factors on the individuals that fall into the same group...

21

2023-09

最优传输问题与Ricci 流上的熵幂不等式

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