Ruichen Jiang

36 papers A* 9A 3C 1Journal 21Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive Matrix Online Learning through Smoothing with Guarantees for Nonsmooth Nonconvex Optimization.
CoRR
Ruichen Jiang, Zakaria Mhammedi, Mehryar Mohri, Aryan Mokhtari
2025 J jnl
Generalized Optimistic Methods for Convex-Concave Saddle Point Problems.
SIAM J. Optim.
Ruichen Jiang, Aryan Mokhtari
2025 A* conf
Improved Complexity for Smooth Nonconvex Optimization: A Two-Level Online Learning Approach with Quasi-Newton Methods.
STOC
Ruichen Jiang, Aryan Mokhtari, Francisco Patitucci
2025 J jnl
Improving Online-to-Nonconvex Conversion for Smooth Optimization via Double Optimism.
CoRR
Francisco Patitucci, Ruichen Jiang, Aryan Mokhtari
2025 J jnl
On the Complexity of Finding Stationary Points in Nonconvex Simple Bilevel Optimization.
CoRR
Jincheng Cao, Ruichen Jiang, Erfan Yazdandoost Hamedani, Aryan Mokhtari
2025 J jnl
Online Learning-guided Learning Rate Adaptation via Gradient Alignment.
CoRR
Ruichen Jiang, Ali Kavis, Aryan Mokhtari
2025 A* conf
Provable Complexity Improvement of AdaGrad over SGD: Upper and Lower Bounds in Stochastic Non-Convex Optimization.
COLT
Ruichen Jiang, Devyani Maladkar, Aryan Mokhtari
2024 A* conf
Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization.
NeurIPS
Ruichen Jiang, Ali Kavis, Qiujiang Jin, Sujay Sanghavi, Aryan Mokhtari
2024 J jnl
Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization.
CoRR
Ruichen Jiang, Ali Kavis, Qiujiang Jin, Sujay Sanghavi, Aryan Mokhtari
2024 A* conf
An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization.
NeurIPS
Jincheng Cao, Ruichen Jiang, Erfan Yazdandoost Hamedani, Aryan Mokhtari
2024 J jnl
An Accelerated Gradient Method for Simple Bilevel Optimization with Convex Lower-level Problem.
CoRR
Jincheng Cao, Ruichen Jiang, Erfan Yazdandoost Hamedani, Aryan Mokhtari
2024 J jnl
Convergence Analysis of Adaptive Gradient Methods under Refined Smoothness and Noise Assumptions.
CoRR
Devyani Maladkar, Ruichen Jiang, Aryan Mokhtari
2024 J jnl
Improved Complexity for Smooth Nonconvex Optimization: A Two-Level Online Learning Approach with Quasi-Newton Methods.
CoRR
Ruichen Jiang, Aryan Mokhtari, Francisco Patitucci
2024 A conf
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate.
AISTATS
Ruichen Jiang, Parameswaran Raman, Shoham Sabach, Aryan Mokhtari, Mingyi Hong, Volkan Cevher
2024 J jnl
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate.
CoRR
Ruichen Jiang, Parameswaran Raman, Shoham Sabach, Aryan Mokhtari, Mingyi Hong, Volkan Cevher
2024 A* conf
Non-asymptotic Global Convergence Analysis of BFGS with the Armijo-Wolfe Line Search.
NeurIPS
Qiujiang Jin, Ruichen Jiang, Aryan Mokhtari
2024 J jnl
Online Learning Guided Quasi-Newton Methods with Global Non-Asymptotic Convergence.
CoRR
Ruichen Jiang, Aryan Mokhtari
2024 A* conf
Stochastic Newton Proximal Extragradient Method.
NeurIPS
Ruichen Jiang, Michal Derezinski, Aryan Mokhtari
2024 J jnl
Stochastic Newton Proximal Extragradient Method.
CoRR
Ruichen Jiang, Michal Derezinski, Aryan Mokhtari
2023 A conf
A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem.
AISTATS
Ruichen Jiang, Nazanin Abolfazli, Aryan Mokhtari, Erfan Yazdandoost Hamedani
2023 A* conf
Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization.
NeurIPS
Ruichen Jiang, Aryan Mokhtari
2023 J jnl
Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization.
CoRR
Ruichen Jiang, Aryan Mokhtari
2023 A* conf
Online Learning Guided Curvature Approximation: A Quasi-Newton Method with Global Non-Asymptotic Superlinear Convergence.
COLT
Ruichen Jiang, Qiujiang Jin, Aryan Mokhtari
2023 J jnl
Online Learning Guided Curvature Approximation: A Quasi-Newton Method with Global Non-Asymptotic Superlinear Convergence.
CoRR
Ruichen Jiang, Qiujiang Jin, Aryan Mokhtari
2023 A* conf
Projection-Free Methods for Stochastic Simple Bilevel Optimization with Convex Lower-level Problem.
NeurIPS
Jincheng Cao, Ruichen Jiang, Nazanin Abolfazli, Erfan Yazdandoost Hamedani, Aryan Mokhtari
2023 J jnl
Projection-Free Methods for Stochastic Simple Bilevel Optimization with Convex Lower-level Problem.
CoRR
Jincheng Cao, Ruichen Jiang, Nazanin Abolfazli, Erfan Yazdandoost Hamedani, Aryan Mokhtari
2022 J jnl
Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems.
CoRR
Mao Ye, Ruichen Jiang, Haoxiang Wang, Dhruv Choudhary, Xiaocong Du, Bhargav Bhushanam, Aryan Mokhtari, Arun Kejariwal, Qiang Liu
2022 A conf
Future gradient descent for adapting the temporal shifting data distribution in online recommendation systems.
UAI
Mao Ye, Ruichen Jiang, Haoxiang Wang, Dhruv Choudhary, Xiaocong Du, Bhargav Bhushanam, Aryan Mokhtari, Arun Kejariwal, Qiang Liu
2022 J jnl
Generalized Frank-Wolfe Algorithm for Bilevel Optimization.
CoRR
Ruichen Jiang, Nazanin Abolfazli, Aryan Mokhtari, Erfan Yazdandoost Hamedani
2022 J jnl
Generalized Optimistic Methods for Convex-Concave Saddle Point Problems.
CoRR
Ruichen Jiang, Aryan Mokhtari
2021 — conf
Antenna Efficiency in Massive MIMO Detection.
SPAWC
Ruichen Jiang, Ya-Feng Liu
2021 J jnl
Antenna Efficiency in Massive MIMO Detection.
CoRR
Ruichen Jiang, Ya-Feng Liu
2021 J jnl
Tightness and Equivalence of Semidefinite Relaxations for MIMO Detection.
CoRR
Ruichen Jiang, Ya-Feng Liu, Chenglong Bao, Bo Jiang
2020 — conf
Achieving Cooperative Diversity in Over-the-Air Computation via Relay Selection.
VTC Fall
Ruichen Jiang, Sheng Zhou, Kaibin Huang
2020 C conf
Cluster-Based Cooperative Digital Over-the-Air Aggregation for Wireless Federated Edge Learning.
ICCC
Ruichen Jiang, Sheng Zhou
2020 J jnl
Cluster-Based Cooperative Digital Over-the-Air Aggregation for Wireless Federated Edge Learning.
CoRR
Ruichen Jiang, Sheng Zhou