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Qiujiang Jin
ORCID
Publication Activity (10 Years)
Years Active: 2020-2024
Publications (10 Years): 9
Top Topics
Sample Size
Generalized Linear Models
Online Learning
Newton Method
Top Venues
CoRR
ICML
Math. Program.
COLT
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Publications
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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)