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  • 香港科技大学 杨灿博士: Deep Generative Learning via Variational Gradient Flow
  • 香港大学叶兆辉教授:Analysis of change of the fertility rate
  • 康涅狄格大学陈昆(CHEN KUN)副教授: Improving suicide risk prediction through integrative statistical learning
  • 加州大学伯克利分校李乐昕教授:Testing Mediation Effects Using Logic of Boolean Matrices with Applications in Neuroimaging Mediation Analysis
  • 微软亚洲研究院吴方照博士:个性化和负责任的新闻推荐
  • 华东师范大学谌自奇教授:Nearest-Neighbor Sampling Based Conditional Independence Testing
  • 英国约克大学 张文扬教授:High Dimensional Dynamic Covariance Matrices with Homogeneous Structure
  • 美国亚利桑那大学张灏教授: Scalable and Model-free Methods for Multiclass Probability Estimation
  • 浙江大学崔逸凡研究员:Some Recent Progress in Proximal Causal Learning
  • 普林斯顿大学竺紫威博士:Distributed Statistical Learning via Refitting Bootstrap Samples
  • 中国人民大学郭绍俊副教授: How Asymptotics Meets Application:Better Nonparametric Confidence Intervals for Quantile Regression
  • 清华大学智能产业研究院兰艳艳教授:Uncertainty Calibration for Ensemble Based Debiasing Methods
  • 加州大学尔湾分校Annie Qu教授:Integrating Multisource Block-Wise Missing Data in Model Selection
  • 厦门大学钟威教授:Multi-Kink Quantile Regression for Longitudinal Data with Application to Progesterone Data Analysis
  • 伊利诺伊大学香槟分校梁枫教授:Learning Topic Models: Identifiability and Finite-Sample Analysis
  • 密西根大学何旭铭教授:How Good is Your Best Selected Subgroup(你选到的最好亚组到底有多好)?
  • 厦门大学 钟威教授: Estimating Endogenous Treatment Effect Using High-Dimensional Instruments
  • 新加坡国立大学 张金廷教授:Simple and Adaptive Tests for High-Dimensional Data
  • 浙江大学骆威博士:A unified generalization of inverse regression via adaptive column selection
  • 新加坡国立大学林振华博士:High-dimensional MANOVA via Bootstrapping and its Application to Functional and Sparse Count Data