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  • 新加坡国立大学栗家量(LI JIALIANG)副教授:Semiparametric Model Averaging Prediction for Dichotomous Response
  • 中国人民大学郭绍俊副教授:Regularization for High Dimensional Functional Data: Functional Thresholding and Fast Computation
  • 清华大学林乾副教授:Generalization ability of wide neural networks on R
  • 伊利诺伊大学芝加哥分校 陈大川博士: Principal Component Analysis and Realized Regression with Asynchronous and Noisy High Frequency Data
  • 美国密西根大学 Peter XK Song教授:Self-learning of individual treatment rules in precision health with missing data
  • 哥伦比亚大学袁明教授:Information Based Complexity for High Dimensional Statistical Models
  • 浙江大学张荣茂教授: Nonstationary Linear Processes with Infinite Variance GARCH Errors
  • 多伦多大学孔德含博士:Fighting Noise with Noise: Causal Inference with Many Candidate Instruments
  • 香港城市大学王军辉教授:Network embedding and community detection in directed networks
  • 中山大学黄辉教授:Efficient Calibration of Numerical Model Outputs
  • 香港大学朱柯副教授:Empirical asset pricing via the conditional quantile variational autoencoder
  • OPPO研究院齐越博士:隐私计算在保护用户敏感数据上的实践与挑战
  • 美国密歇根大学宋学坤教授:Newton growth model: A nonparametric Bayesian method with a prior of the Ornstein-Uhlenbeck process
  • 中国人民大学刘勇副教授:无监督泛化误差分析初探
  • 南加州大学 Jinchi Lv教授: "RANK: Large-Scale Inference with Graphical Nonlinear Knockoffs"
  • 宾夕法尼亚州立大学马彦源教授:Measurement Error Models
  • 中国科学院张新雨研究员:Optimal parameter-transfer learning by semiparametric model averaging
  • 南京审计大学吕绍高副教授:Debiased distributed learning for sparse partial linear models in high dimensions
  • 英国伯明翰大学雷云文博士:基于随机梯度下降的统计学习
  • 香港科技大学杨灿副教授: MR-APSS: a unified approach to Mendelian Randomization accounting for pleiotropy, sample overlap and selection bias using the genome-wide summary data