Ruichen Jiang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 23

Top Topics

Data Distribution

Convergence Rate

Top Venues

Publications

Ruichen Jiang, Parameswaran Raman, Shoham Sabach, Aryan Mokhtari, Mingyi Hong, Volkan Cevher
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate. CoRR (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, Michal Derezinski, Aryan Mokhtari
Stochastic Newton Proximal Extragradient Method. CoRR (2024)
Devyani Maladkar, Ruichen Jiang, Aryan Mokhtari
Convergence Analysis of Adaptive Gradient Methods under Refined Smoothness and Noise Assumptions. CoRR (2024)
Ruichen Jiang, Parameswaran Raman, Shoham Sabach, Aryan Mokhtari, Mingyi Hong, Volkan Cevher
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate. AISTATS (2024)
Jincheng Cao, Ruichen Jiang, Erfan Yazdandoost Hamedani, Aryan Mokhtari
An Accelerated Gradient Method for Simple Bilevel Optimization with Convex Lower-level Problem. CoRR (2024)
Ruichen Jiang, Nazanin Abolfazli, Aryan Mokhtari, Erfan Yazdandoost Hamedani
A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem. AISTATS (2023)
Ruichen Jiang, Aryan Mokhtari
Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization. NeurIPS (2023)
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, Aryan Mokhtari
Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization. CoRR (2023)
Jincheng Cao, Ruichen Jiang, Nazanin Abolfazli, Erfan Yazdandoost Hamedani, Aryan Mokhtari
Projection-Free Methods for Stochastic Simple Bilevel Optimization with Convex Lower-level Problem. NeurIPS (2023)
Jincheng Cao, Ruichen Jiang, Nazanin Abolfazli, Erfan Yazdandoost Hamedani, Aryan Mokhtari
Projection-Free Methods for Stochastic Simple Bilevel Optimization with Convex Lower-level Problem. 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)
Ruichen Jiang, Aryan Mokhtari
Generalized Optimistic Methods for Convex-Concave Saddle Point Problems. CoRR (2022)
Mao Ye, Ruichen Jiang, Haoxiang Wang, Dhruv Choudhary, Xiaocong Du, Bhargav Bhushanam, Aryan Mokhtari, Arun Kejariwal, Qiang Liu
Future gradient descent for adapting the temporal shifting data distribution in online recommendation systems. UAI (2022)
Mao Ye, Ruichen Jiang, Haoxiang Wang, Dhruv Choudhary, Xiaocong Du, Bhargav Bhushanam, Aryan Mokhtari, Arun Kejariwal, Qiang Liu
Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems. CoRR (2022)
Ruichen Jiang, Nazanin Abolfazli, Aryan Mokhtari, Erfan Yazdandoost Hamedani
Generalized Frank-Wolfe Algorithm for Bilevel Optimization. CoRR (2022)
Ruichen Jiang, Ya-Feng Liu, Chenglong Bao, Bo Jiang
Tightness and Equivalence of Semidefinite Relaxations for MIMO Detection. CoRR (2021)
Ruichen Jiang, Ya-Feng Liu
Antenna Efficiency in Massive MIMO Detection. CoRR (2021)
Ruichen Jiang, Ya-Feng Liu
Antenna Efficiency in Massive MIMO Detection. SPAWC (2021)
Ruichen Jiang, Sheng Zhou, Kaibin Huang
Achieving Cooperative Diversity in Over-the-Air Computation via Relay Selection. VTC Fall (2020)
Ruichen Jiang, Sheng Zhou
Cluster-Based Cooperative Digital Over-the-Air Aggregation for Wireless Federated Edge Learning. CoRR (2020)
Ruichen Jiang, Sheng Zhou
Cluster-Based Cooperative Digital Over-the-Air Aggregation for Wireless Federated Edge Learning. ICCC (2020)