Xuelin Yang

I am a Ph.D. student in Statistics at UC Berkeley. Previously, I graduated from Stanford University with a Bachelor's degree in Mathematics and a concurrent Master's degree in Computer Science.

Research

My research interest lies broadly in machine learning and econometrics.

To junior students: I devote 30 mins weekly to chatting about research and career in general. I encourage you to reach out and will prioritize underrepresented groups.

Publications
*: Equal Contribution. (α-β): Alphabetical order.
Dimension-free Private Mean Estimation for Anisotropic Distributions
(α-β) with Yuval Dagan, Michael I. Jordan, Lydia Zakynthinou, Nikita Zhivotovskiy

NeurIPS 2024, also presented in Theory and Practice of Differential Privacy (TPDP) 2024 Workshop [Paper]

Fairness-Aware Meta-Learning via Nash Bargaining
Yi Zeng*, Xuelin Yang*, Li Chen, Cristian Canton Ferrer, Ming Jin, Michael I. Jordan, Ruoxi Jia

NeurIPS 2024 [Paper / Code]

CLEVRER-Humans: Describing Physical and Causal Events the Human Way
Jiayuan Mao*(α-β), Xuelin Yang*(α-β), Xikun Zhang, Noah D. Goodman, Jiajun Wu

NeurIPS 2022 (Datasets and Benchmarks Track) [Paper / Project Page / Code]

FastCPH: Efficient Survival Analysis for Neural Networks
Xuelin Yang, Louis Abraham, Sejin Kim, Petr Smirnov, Feng Ruan, Benjamin Haibe-Kains, Robert Tibshirani

NeurIPS 2022 Workshop on Learning from Time Series for Health & Workshop on Algorithmic Efficiency in Practical Neural Network Training [Paper / Code]

ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time
Tailin Wu, Megan Tjandrasuwita, Zhengxuan Wu, Xuelin Yang, Kevin Liu, Rok Sosič, Jure Leskovec

NeurIPS 2022, also presented in ICML 2022 Beyond Bayes: Paths Towards Universal Reasoning Systems Workshop [Paper / Project Page / Code]

Prior Experience
Selected Distinctions

Candidate, Tau Beta Pi (TBP) Engineering Honor Society, 2023 (top fifth of all seniors in the School of Engineering at Stanford based on GPA)
Second place at Stanford, Jane Street Estimathon, 2020 (top 2 out of 20)
3rd Place Award in System Software, Intel International Science and Engineering Fair, 2018 (top 10% out of 1800, state’s best record in 8 years, the world’s largest pre-college STEM competition)
First Prize, Provincial Adolescent Science and Technology Innovation Contest, 2018 (top 5 out of 400 in the province)
Bronze Award in World’s Final, Shing-Tung Yau Science Award, 2017 (top 0.5% out of 5800, Chinese largest pre-college STEM competition)
Meritorious, International Mathematical Modelling Challenge, 2016 (top 10 out of 300 in the country)

Education
  • Ph.D. student, UC Berkeley, Statistics, 2023-Present
  • M.S., Stanford University, Computer Science, 2021-2023
  • B.S., Stanford University, Mathematics, 2019-2023