山东大学林路教授:A Correlation-Ratio Transfer Learning and Variational Stein's Paradox

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宾夕法尼亚大学苏炜杰副教授:Gaussian Differential Privacy and Some Computational Challenges

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加州大学伯克利分校丁鹏副教授：Multiply robust estimation of causal effects under principal ignorability

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新加坡国立大学 余涛副教授: Pairwise-rank-likelihood methods for the semiparametric transformation model

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康奈尔大学宁洋博士：Optimal and Safe Estimation for High-Dimensional Semi-Supervised Learning

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北京师范大学 陈木法院士: 交叉研究的感悟

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东北师范大学郑术蓉教授：Central limit theorems of high-dimensional sample correlation matrix under two stuctures

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美国杜克大学李凡教授：Propensity score weighting in causal inference

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德克萨斯大学 罗曦副教授: Covariate Assisted Principal Regression for Covariance Matrix Outcomes

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