Avatar

Yuege (Gail) Xie

MLE / Ph.D. in CSEM/ML

Snap Inc.

Center for Scientific ML, UT Austin

Email: yuege + lastname + 23 + at gmail.com

About Me

I am currently a senior machine learning engineer at Snap. I received my Ph.D. from Oden Institute, UT Austin, advised by Rachel Ward. My research focuses on understanding optimization and generalization in deep learning. In particular, I am interested in adaptive stochastic gradient descent algorithms, generalization of overparameterized systems, sparse random feature models, and robust learning. Before joining UT Austin, I received my bachelor’s degree in Mathematics and Applied Mathematics from Zhejiang University, China. And I was an exchange student at Lund University, Sweden, during Fall 2015.

Interests

  • Adaptive Optimization
  • Robust Learning
  • Deep Learning
  • Machine Learning

Education

  • PhD in Computational Science, Engineering, and Mathematics, 2017 - 2022

    The University of Texas at Austin

  • BSc in Applied Mathematics, 2013 - 2017

    Zhejiang University

Recent Publications

SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning

Overparameterization and generalization error: weighted trigonometric interpolation

Industry Experience

 
 
 
 
 

Machine Learning Engineer

Snap Inc.

Aug 2022 – Present Palo Alto, CA
 
 
 
 
 

Data & Applied Scientist Intern

Azure Machine Learning, Microsoft

Jun 2021 – Aug 2021 Remote
Project: Integrate Transformer’s Architecture in Automated Machine Learning Image.
 
 
 
 
 

Research/PhD Intern

Visa Research, Visa Inc.

May 2020 – Jul 2020 Remote

Project: Learning to Super-learn: Meta-learning for Imbalanced Tasks.

Patent: MetaModel and Feature Generation for Rapid and Accurate Anomaly Detection

 
 
 
 
 

Data Scientist Intern

Visa Research, Visa Inc.

Jun 2019 – Aug 2019 Austin, TX
Project: Semi-supervised Learning for Fraud Detection with Positive-Unlabeled Data.