Education

• Ph.D. in Applied Mathematics, University of California, Berkeley, Sep. 2023 -
• M.S. in Computational and Applied Mathematics, The University of Chicago, Sep. 2021 - Dec. 2022
• B.S. in Statistics, Xiamen University, Sep. 2017 - Jun. 2021

Research Papers

Trust-Region Sequential Quadratic Programming for Stochastic Optimization with Random Models

Yuchen Fang, Sen Na, Michael W. Mahoney and Mladen Kolar
Submitted

Fully Stochastic Trust-Region Sequential Quadratic Programming for Equality-Constrained Optimization Problems

Yuchen Fang, Sen Na, Michael W. Mahoney and Mladen Kolar
SIAM Journal on Optimization, 2024

Workshop Papers

Trust-Region Sequential Quadratic Programming for Equality-Constrained Stochastic Optimization with Random Models: First-Order Stationarity (workshop version)

Yuchen Fang, Sen Na and Mladen Kolar
Higher-Order Optimization in Machine Learning (HOOML) 2022, NeurIPS Workshop

Fully Stochastic Trust-Region Sequential Quadratic Programming for Equality-Constrained Optimization Problems (workshop version)

Yuchen Fang, Sen Na and Mladen Kolar
Higher-Order Optimization in Machine Learning (HOOML) 2022, NeurIPS Workshop

Presentations

Dec. 2022, “Trust-Region Sequential Quadratic Programming for Stochastic Optimization with Random Models: First-Order Stationarity”, NeurIPS Workshop on Higher-Order Optimization in Machine Learning (HOOML) 2022

Dec. 2022, “Fully Stochastic Trust-Region Sequential Quadratic Programming for Equality-Constrained Optimization Problems”, NeurIPS Workshop on Higher-Order Optimization in Machine Learning (HOOML) 2022

Nov. 2022, “Fully Stochastic Trust-Region Sequential Quadratic Programming for Equality-Constrained Optimization Problems”, Computational and Applied Mathematics (CAM) Student Seminar, the University of Chicago

May 2022, “Trust-Region Stochastic Sequential Quadratic Programming for Constrained Optimization”, ACMNTW Workshop on Optimization and Machine Learning 2022, Northwestern University

Professional Service

• Conference Reviewer:
  • International Conference on Learning Representations (ICLR) 2024,2025
  • Conference on Neural Information Processing Systems (NeurIPS) 2023
  • International Conference on Artificial Intelligence and Statistics (AISTATS) 2023
  • Midwest Machine Learning Symposium 2023
• Teaching:
  • GSI of Math 1A Calculus, University of California, Berkeley, Fall 2023 - Fall 2024
  • Grader of STAT 37710, the University of Chicago, Autumn 2022

Skills

• Programming Languages: R, Python, MATLAB, Julia, C, LaTeX
• Languages: Native in Mandarin, fluent in English