Jin, Qiujiang

7 publications

NeurIPS 2025 Affine-Invariant Global Non-Asymptotic Convergence Analysis of BFGS Under Self-Concordance Qiujiang Jin, Aryan Mokhtari

NeurIPS 2024 Adaptive and Optimal Second-Order Optimistic Methods for Minimax Optimization Ruichen Jiang, Ali Kavis, Qiujiang Jin, Sujay Sanghavi, Aryan Mokhtari

NeurIPS 2024 Non-Asymptotic Global Convergence Analysis of BFGS with the Armijo-Wolfe Line Search Qiujiang Jin, Ruichen Jiang, Aryan Mokhtari

TMLR 2024 Statistical and Computational Complexities of BFGS Quasi-Newton Method for Generalized Linear Models Qiujiang Jin, Tongzheng Ren, Nhat Ho, Aryan Mokhtari

COLT 2023 Online Learning Guided Curvature Approximation: A Quasi-Newton Method with Global Non-Asymptotic Superlinear Convergence Ruichen Jiang, Qiujiang Jin, Aryan Mokhtari

ICML 2022 Sharpened Quasi-Newton Methods: Faster Superlinear Rate and Larger Local Convergence Neighborhood Qiujiang Jin, Alec Koppel, Ketan Rajawat, Aryan Mokhtari

NeurIPS 2021 Exploiting Local Convergence of Quasi-Newton Methods Globally: Adaptive Sample Size Approach Qiujiang Jin, Aryan Mokhtari