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2020 – today
- 2024
[j2]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)- [i4]Ruichen Jiang, Ali Kavis, Qiujiang Jin, Sujay Sanghavi, Aryan Mokhtari:
Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization. CoRR abs/2406.02016 (2024) - 2023
- [j1]Qiujiang Jin
, Aryan Mokhtari:
Non-asymptotic superlinear convergence of standard quasi-Newton methods. Math. Program. 200(1): 425-473 (2023) - [c3]Ruichen Jiang, Qiujiang Jin, Aryan Mokhtari:
Online Learning Guided Curvature Approximation: A Quasi-Newton Method with Global Non-Asymptotic Superlinear Convergence. COLT 2023: 1962-1992 - [i3]Ruichen Jiang, Qiujiang Jin, Aryan Mokhtari:
Online Learning Guided Curvature Approximation: A Quasi-Newton Method with Global Non-Asymptotic Superlinear Convergence. CoRR abs/2302.08580 (2023) - 2022
- [c2]Qiujiang Jin, Alec Koppel, Ketan Rajawat, Aryan Mokhtari:
Sharpened Quasi-Newton Methods: Faster Superlinear Rate and Larger Local Convergence Neighborhood. ICML 2022: 10228-10250 - 2021
- [c1]Qiujiang Jin, Aryan Mokhtari:
Exploiting Local Convergence of Quasi-Newton Methods Globally: Adaptive Sample Size Approach. NeurIPS 2021: 3824-3835 - [i2]Qiujiang Jin, Aryan Mokhtari:
Exploiting Local Convergence of Quasi-Newton Methods Globally: Adaptive Sample Size Approach. CoRR abs/2106.05445 (2021) - 2020
- [i1]Qiujiang Jin, Aryan Mokhtari:
Non-asymptotic Superlinear Convergence of Standard Quasi-Newton Methods. CoRR abs/2003.13607 (2020)
Coauthor Index
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