陈可慧

匹兹堡大学

Modeling the variance and covariance structures of complex functional data and network data, as well as nonparametric prediction for functional data, relational-data and survival outcomes.

A Joint Modeling Approach for Multilayer Egocentric Social Networks, with Application to Mental Health Studies in Elder Subjects

戴晓武

加州大学洛杉矶分校

Developing statistical theory and methodology to address real-world problems that involve computational, inferential, and economic considerations.

Statistical Learning via Partial Derivatives

郭方健

密歇根大学

Replicable data analysis, causal inference and statistical inference in non-standard cases.

Hunt and Test with Generalized Scores

雷径

卡耐基梅隆大学

Predictive inference, data privacy, network data, and single-cell multi-omics data analysis.

Discrete Argmin Inference Using Cross-Validated Exponential Mechanism

任钊

匹兹堡大学

High-dimensional statistical inference, robust inference, graphical models, nonparametric function estimation, and applications in statistical genomics.

Sparse Heteroskedastic PCA in High Dimensions

夏冬

香港科技大学

High-dimensional statistics, machine learning theory and optimization.

Online Decision Making: Algorithm, Regret, Constraints and Uncertainty

张贻辰

普渡大学

Online inference, distributed learning with data heterogeneity and forecasting and optimization in time series.

Online Estimation and Inference for Robust Policy Evaluation in Reinforcement Learning

朱裕华

加州大学洛杉矶分校

Bridges the gap between partial differential equations and machine learning, with a focus on reinforcement learning, stochastic optimization, and uncertainty quantification.

Optimal PhiBE—A Model-Free PDE-Based Framework for Continuous-Time Reinforcement Learning