ZITONG YANG
Welcome to my homepage! I am a statistician at Stanford NLP group, advised by Prof. Tatsunori Hashimoto and Prof. Emmanuel Candès. My research is generously supported by Albion Walter Hewlett Stanford Graduate Fellowship (SGF). Prior to Stanford, I spent some amazing years at Berkeley, working with Prof. Jacob Steinhardt, Yi Ma and Song Mei.
Education
- Ph.D. Statistics, Stanford University (2022-present)
- M.S. Electrical Engineering, University of California, Berkeley (2020-2021)
- B.A. Mathematics, Highest Honors, University of California, Berkeley (2016-2020)
- B.A. Computer Science, University of California, Berkeley (2016-2020)
- B.A. Physics, University of California, Berkeley (2016-2020)
Professional Experience
- Google Scholar
- Curriculum vitae
- Email: zitong@berkeley.edu
Publications
- Bellman Conformal Inference: Calibrating Prediction Intervals For Time Series.
Zitong Yang, Lihua Lei, Emmanuel Candès
arXiv preprint, 2024. [code] [arXiv]
- ResMem: Learn what you can and memorize the rest.
Zitong Yang, Michal Lukasik, Vaishnavh Nagarajan, Zonglin Li, Ankit Singh Rawat, Manzil Zaheer, Aditya Krishna Menon, Sanjiv Kumar
Neural Information Processing Systems (NeurIPS), 2023. [slides] [arXiv] - Predicting Out-of-Distribution Error with the Projection Norm.
Yaodong Yu*, Zitong Yang*, Alexander Wei, Yi Ma, Jacob Steinhardt.
International Conference on Machine Learning (ICML), 2022. [slides] [arXiv] - Exact Gap between Generalization Error and Uniform Convergence in Random Feature Models.
Zitong Yang, Yu Bai, Song Mei.
International Conference on Machine Learning (ICML), 2021. [slides] [arXiv]
- Understanding Generalization in Adversarial Training via the Bias-Variance Decomposition.
Yaodong Yu*, Zitong Yang*, Edgar Dobriban, Jacob Steinhardt, Yi Ma.
arXiv preprint, 2021. [arXiv] - Rethinking the Bias-Variance Dilemma for Generalization of Neural Networks.
Zitong Yang*, Yaodong Yu*, Chong You, Jacob Steinhardt, Yi Ma.
International Conference on Machine Learning (ICML), 2020. [slides] [arXiv] - Complete Dictionary Learning via l4- Maximization over the Orthogonal Group.
Yuexiang Zhai, Zitong Yang, Zhenyu Liao, John Wright, Yi Ma.
Journal of Machine Learning Research (JMLR), 2020. [arXiv] - A Fast Holistic Algorithm for Complete Dictionary Learning via l4 Norm Maximization.
Yuexiang Zhai, Zitong Yang, Zhenyu Liao, John Wright, Yi Ma.
Signal Processing with Adaptive Sparse Structured Representations (SPARS, Best Student Paper Finalist), 2019. [link]