Ruichen Jiang
Scholar

Ruichen Jiang

Google Scholar ID: BGFt1UMAAAAJ
University of Texas at Austin
Optimization
Citations & Impact
All-time
Citations
266
 
H-index
10
 
i10-index
10
 
Publications
20
 
Co-authors
5
list available
Resume (English only)
Academic Achievements
  • Published 'Improved Complexity for Smooth Nonconvex Optimization: A Two-Level Online Learning Approach with Quasi-Newton Methods' at STOC 2025
  • Published 'Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization' at NeurIPS 2023 (Spotlight)
  • Published 'Online Learning Guided Curvature Approximation: A Quasi-Newton Method with Global Non-Asymptotic Superlinear Convergence' at COLT 2023
  • Published 'A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem' at AISTATS 2023
  • Multiple papers accepted at NeurIPS 2024, including works on minimax optimization, stochastic Newton methods, and BFGS convergence analysis (one Spotlight)
  • Journal publications in SIAM Journal on Optimization (2025) and Mathematical Programming (2025)
  • Continued publications at top-tier venues including COLT 2025, NeurIPS 2025, and AISTATS 2024