Qiujiang Jin

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 9

Top Topics

Generalized Linear Models

Online Learning

Top Venues

Publications

Qiujiang Jin, Tongzheng Ren, Nhat Ho, Aryan Mokhtari
Statistical and Computational Complexities of BFGS Quasi-Newton Method for Generalized Linear Models. Trans. Mach. Learn. Res. 2024 (2024)
Ruichen Jiang, Ali Kavis, Qiujiang Jin, Sujay Sanghavi, Aryan Mokhtari
Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization. CoRR (2024)
Ruichen Jiang, Qiujiang Jin, Aryan Mokhtari
Online Learning Guided Curvature Approximation: A Quasi-Newton Method with Global Non-Asymptotic Superlinear Convergence. CoRR (2023)
Ruichen Jiang, Qiujiang Jin, Aryan Mokhtari
Online Learning Guided Curvature Approximation: A Quasi-Newton Method with Global Non-Asymptotic Superlinear Convergence. COLT (2023)
Qiujiang Jin, Aryan Mokhtari
Non-asymptotic superlinear convergence of standard quasi-Newton methods. Math. Program. 200 (1) (2023)
Qiujiang Jin, Alec Koppel, Ketan Rajawat, Aryan Mokhtari
Sharpened Quasi-Newton Methods: Faster Superlinear Rate and Larger Local Convergence Neighborhood. ICML (2022)
Qiujiang Jin, Aryan Mokhtari
Exploiting Local Convergence of Quasi-Newton Methods Globally: Adaptive Sample Size Approach. NeurIPS (2021)
Qiujiang Jin, Aryan Mokhtari
Exploiting Local Convergence of Quasi-Newton Methods Globally: Adaptive Sample Size Approach. CoRR (2021)
Qiujiang Jin, Aryan Mokhtari
Non-asymptotic Superlinear Convergence of Standard Quasi-Newton Methods. CoRR (2020)