Jiang, Ruichen

13 publications

NeurIPS 2025 On the Complexity of Finding Stationary Points in Nonconvex Simple Bilevel Optimization Jincheng Cao, Ruichen Jiang, Erfan Yazdandoost Hamedani, Aryan Mokhtari

COLT 2025 Provable Complexity Improvement of AdaGrad over SGD: Upper and Lower Bounds in Stochastic Non-Convex Optimization Ruichen Jiang, Devyani Maladkar, 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 An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization Jincheng Cao, Ruichen Jiang, Erfan Yazdandoost Hamedani, Aryan Mokhtari

AISTATS 2024 Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate Ruichen Jiang, Parameswaran Raman, Shoham Sabach, Aryan Mokhtari, Mingyi Hong, Volkan Cevher

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

NeurIPS 2024 Stochastic Newton Proximal Extragradient Method Ruichen Jiang, Michał Dereziński, Aryan Mokhtari

AISTATS 2023 A Conditional Gradient-Based Method for Simple Bilevel Optimization with Convex Lower-Level Problem Ruichen Jiang, Nazanin Abolfazli, Aryan Mokhtari, Erfan Yazdandoost Hamedani

NeurIPS 2023 Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization Ruichen Jiang, 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

NeurIPS 2023 Projection-Free Methods for Stochastic Simple Bilevel Optimization with Convex Lower-Level Problem Jincheng Cao, Ruichen Jiang, Nazanin Abolfazli, Erfan Yazdandoost Hamedani, Aryan Mokhtari

NeurIPSW 2022 Conditional Gradient-Based Method for Bilevel Optimization with Convex Lower-Level Problem Ruichen Jiang, Nazanin Abolfazli, Aryan Mokhtari, Erfan Yazdandoost Hamedani

UAI 2022 Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems Mao Ye, Ruichen Jiang, Haoxiang Wang, Dhruv Choudhary, Xiaocong Du, Bhargav Bhushanam, Aryan Mokhtari, Arun Kejariwal, Qiang Liu