加州大学伯克利分校丁鹏副教授：Interpretable sensitivity analysis for the Baron-Kenny approach to mediation with unmeasured confounding

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中国科学院数学与系统科学研究院 马志明院士: 神经网络和机器学习的一些最新研究进展

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宾夕法尼亚州立大学薛凌洲副教授：An additive graphical model for discrete data

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中国人民大学朱利平教授：High dimensional independence tests based on rank indices in the presence of heterogeneity

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中国科学院大学郭田德教授： 人工智能中的数学

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中国人民大学朱利平教授： Test effects of high-dimensional covariates via aggregating cumulative covariances

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北京师范大学陈木法院士：超大矩阵特征向量的快速计算

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北京大学陈松蹊教授：Meteorological Change and Impacts on Air Pollution -- Results from North China

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香港浸会大学彭衡副教授：BOLT-SSI: Fully Screening Interaction Effects for Ultra-High Dimensional Data

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南京审计大学吕绍高教授:Nonparametric optimality for large compressible deep neural networks under quadratic loss functions

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新加坡国立大学夏应存教授：传染病动态数据的数学及统计建模中的几个问题

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中国科学技术大学郑泽敏教授：Statistically Guided Divide-and-Conquer for Sparse Factorization of Large Matrix

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英国约克大学 张文扬教授：Nonparametric Homogeneity Pursuit in Functional-Coefficient Models

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宾州州立大学李润泽教授： A Tuning-free Robust and Efficient Approach to High-dimensional Regression

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华东师范大学周勇教授：General assumptions in semi-supervised learning

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伊利诺伊大学香槟分校陈玉国教授：Popularity-Adjusted Block Models for Networks with Community Structure

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清华大学杨朋昆博士:Towards a mathematical foundation of federated learning: a statistical perspective

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中国科学技术大学王学钦教授：Metric Kernel Functional Regression Models in Metric Spaces

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中国科学院数学与系统科学研究院 马志明院士：从5G极化码谈起

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北京大学苗旺助理教授：Identifying effects of multiple treatments in the presence of unmeasured confounding

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