Yajie Bao

Welcome to my homepage! I am currently a postdoc scholar at School of Statistics and Data Science, Nankai University. My advisor is Prof. Changliang Zou. I obtained my PhD degree in Statistics from Shanghai Jiao Tong University under the supervision of Prof. Dong Han and Prof. Haojie Ren. I virtually visited Prof. Mingrui Liu's lab at George Mason University from 2022-2024. I received my B.S. degree in Statistics from East China Normal University. Email: baoyajie.stat@gmail.com Here is my Google scholar profile.

Research interests

• Comformal prediction

• Selective inference

• Deep learning theory

• Federated learning

Recent papers

• Provable Benefits of Local Steps in Heterogeneous Federated Learning for Neural Networks: A Feature Learning Perspective
  Yajie Bao, Michael Crawshaw and Mingrui Liu.
  International Conference on Machine Learning (ICML), 2024.

• CAP: A General Algorithm for Online Selective Conformal Prediction with FCR Control
  Yajie Bao, Yuyang Huo, Haojie Ren and Changliang Zou.
  arxiv, 2024+.

• Selective Conformal Inference with False Coverage-statement Rate Control
  Yajie Bao, Yuyang Huo, Haojie Ren and Changliang Zou.
  Biometrika, 2024.

Service

Reviewer: ICML 2022, 2024; NeurIPS 2022, 2023; ICLR 2024; AISTATS 2024.