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Ruichen Jiang

12 papers · 2022–2026 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+4 more ↓ πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (16) 🌍 Conference Polyglot Β· Bronze πŸ”¬ Deep Specialist (10) 🀝 Dynamic Duo (12)
πŸ—ƒοΈ Keyword Collector (60) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze

Venues

NeurIPS (6) COLT (3) AISTATS (2) UAI (1)

Top co-authors

Aryan Mokhtari (12) Erfan Yazdandoost Hamedani (3) Qiujiang Jin (3) Jincheng Cao (2) Nazanin Abolfazli (2) Parameswaran Raman (1) Zakaria Mhammedi (1) Mehryar Mohri (1) Arun Kejariwal (1) Ali Kavis (1)

Research topics

Machine Learning (12) Optimization & Theory Β· Machine Learning (12) Mathematics & Optimization (11) Optimization (11) Artificial Intelligence (2) Core AI (2) Deep Learning (1) Application Areas (1) Learning Types (1) Mathematics (1) Optimization & Theory Β· Deep Learning (1)

Keywords

convex optimization (5) bilevel optimization (3) superlinear convergence (3) hessian approximation (2) global convergence (2) quasi-newton method (2) online convex optimization (2) second-order method (2) regret bound (2) strongly convex (2) convergence rate (2) iteration complexity (2) accelerated gradient (2) error bound (2) second-order optimization (1) minimax optimization (1) hessian matrix (1) online learning (1) conditional gradient (1) variance reduction (1)

Papers

Adaptive Matrix Online Learning through Smoothing with Guarantees for Nonsmooth Nonconvex Optimization COLT 2026 Provable Complexity Improvement of AdaGrad over SGD: Upper and Lower Bounds in Stochastic Non-Convex Optimization COLT 2025 Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization NeurIPS 2024 An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization NeurIPS 2024 Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate AISTATS 2024 Non-asymptotic Global Convergence Analysis of BFGS with the Armijo-Wolfe Line Search NeurIPS 2024 Stochastic Newton Proximal Extragradient Method NeurIPS 2024 Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization NeurIPS 2023 A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem AISTATS 2023 Online Learning Guided Curvature Approximation: A Quasi-Newton Method with Global Non-Asymptotic Superlinear Convergence COLT 2023 Projection-Free Methods for Stochastic Simple Bilevel Optimization with Convex Lower-level Problem NeurIPS 2023 Future gradient descent for adapting the temporal shifting data distribution in online recommendation systems UAI 2022