Ruichen Jiang
11 papers · 2022–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (7) 🗺️ Taxonomy Completionist (15) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4)
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Dynamic Duo
(11)
🗃️
Keyword Collector
(50)
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Prolific Year
(5)
💎
Century Club
(11)
Conferences
NIPS (6)
AISTATS (2)
COLT (2)
UAI (1)
Top co-authors
Keywords
convex optimization
(5)
bilevel optimization
(3)
superlinear convergence
(3)
convergence rate
(2)
accelerated gradient
(2)
iteration complexity
(2)
strongly convex
(2)
online convex optimization
(2)
hessian approximation
(2)
error bound
(2)
second-order method
(2)
quasi-newton method
(2)
condition number
(1)
projection-free optimization
(1)
variance reduction
(1)
second-order optimization
(1)
gradient descent
(1)
hessian matrix
(1)
minimax optimization
(1)
conditional gradient
(1)
Papers
Provable Complexity Improvement of AdaGrad over SGD: Upper and Lower Bounds in Stochastic Non-Convex Optimization
COLT 2025
Non-asymptotic Global Convergence Analysis of BFGS with the Armijo-Wolfe Line Search
NIPS 2024
Krylov Cubic Regularized Newton: A Subspace Second-Order Method with Dimension-Free Convergence Rate
AISTATS 2024
An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization
NIPS 2024
Stochastic Newton Proximal Extragradient Method
NIPS 2024
Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization
NIPS 2024
Projection-Free Methods for Stochastic Simple Bilevel Optimization with Convex Lower-level Problem
NIPS 2023
Accelerated Quasi-Newton Proximal Extragradient: Faster Rate for Smooth Convex Optimization
NIPS 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
Future gradient descent for adapting the temporal shifting data distribution in online recommendation systems
UAI 2022