Qiujiang Jin

According to our database, Qiujiang Jin authored at least 4 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Non-asymptotic superlinear convergence of standard quasi-Newton methods.

Qiujiang Jin, Aryan Mokhtari

Math. Program., 2023

Online Learning Guided Curvature Approximation: A Quasi-Newton Method with Global Non-Asymptotic Superlinear Convergence.

Ruichen Jiang, Qiujiang Jin, Aryan Mokhtari

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

Sharpened Quasi-Newton Methods: Faster Superlinear Rate and Larger Local Convergence Neighborhood.

Qiujiang Jin, Alec Koppel, Ketan Rajawat, Aryan Mokhtari

Proceedings of the International Conference on Machine Learning, 2022

2021

Exploiting Local Convergence of Quasi-Newton Methods Globally: Adaptive Sample Size Approach.

Qiujiang Jin, Aryan Mokhtari

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021