Qiujiang Jin

PhD student, University of Texas, Austin

Joined

May 2021

Names

Qiujiang Jin (Preferred)

Emails

****@gmail.com (Confirmed)

,

****@ices.utexas.edu (Confirmed)

,

****@austin.utexas.edu (Confirmed)

Personal Links

Career & Education History

PhD student

University of Texas, Austin (utexas.edu)

2017 – Present

Advisors, Relations & Conflicts

PhD Advisor

Present

Expertise

numerical optimization

,

large-scale machine learning

Present

Publications

Affine-Invariant Global Non-Asymptotic Convergence Analysis of BFGS under Self-Concordance
Qiujiang Jin, Aryan Mokhtari
- NeurIPS 2025 spotlight
- Readers: Everyone
Non-asymptotic Global Convergence Analysis of BFGS with the Armijo-Wolfe Line Search
Qiujiang Jin, Ruichen Jiang, Aryan Mokhtari
- NeurIPS 2024 spotlight
- Readers: Everyone
Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization
Ruichen Jiang, Ali Kavis, Qiujiang Jin, sujay sanghavi, Aryan Mokhtari
- NeurIPS 2024 poster
- Readers: Everyone
Statistical and Computational Complexities of BFGS Quasi-Newton Method for Generalized Linear Models
Qiujiang Jin, Tongzheng Ren, Nhat Ho, Aryan Mokhtari
- Accepted by TMLR
- Readers: Everyone
Non-asymptotic Superlinear Convergence of Standard Quasi-Newton Methods
Qiujiang Jin
- 12 May 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Exploiting Local Convergence of Quasi-Newton Methods Globally: Adaptive Sample Size Approach
Qiujiang Jin, Aryan Mokhtari
- Published: 09 Nov 2021, Last Modified: 05 May 2023
- NeurIPS 2021 Poster
- Readers: Everyone

Co-Authors