Lesi Chen

11 papers · 2022–2026 · 6 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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+3 more ↓

🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Silver 🗺️ Taxonomy Completionist (13) 🏆 Keyword Champion (2) 🔬 Deep Specialist (10)

⚡ Prolific Year · Productive 🔥 Unstoppable · Bronze 💎 Century Club · Bronze

Venues

COLT (3) ICML (2) JMLR (2) NeurIPS (2) AISTATS (1) ICLR (1)

Top co-authors

Luo Luo (7) Jingzhao Zhang (6) Jing Xu (3) Chengchang Liu (3) Huaqing Zhang (1) Haishan Ye (1) Yaohua Ma (1) Boyuan Yao (1) Yuxing Liu (1)

Research topics

Mathematics & Optimization (11) Optimization (11) Machine Learning (10) Optimization & Theory (10) Computer Science (1) Foundations (1) Learning Types (1)

Keywords

non-convex optimization (4) stochastic optimization (3) bilevel optimization (3) minimax optimization (3) condition number (2) complexity bound (2) gradient descent (2) strongly convex (2) stochastic algorithm (2) decentralized optimization (2) first-order oracle (2) saddle point (2) polyak-łojasiewicz condition (2) iteration complexity (2) convex optimization (2) first-order algorithm (2) near-optimal rate (1) second-order optimization (1) nesterov acceleration (1) convex-concave minimax problem (1)

Papers

Faster Newton Methods for Convex and Nonconvex Optimization in Gradient Complexity COLT 2026 Near-Optimal Nonconvex-Strongly-Convex Bilevel Optimization with Fully First-Order Oracles JMLR 2025 Second-Order Min-Max Optimization with Lazy Hessians ICLR 2025 Solving Convex-Concave Problems with O(ε^-4/7) Second-Order Oracle Complexity COLT 2025 An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization AISTATS 2024 Decentralized Convex Finite-Sum Optimization with Better Dependence on Condition Numbers ICML 2024 Functionally Constrained Algorithm Solves Convex Simple Bilevel Problem NeurIPS 2024 Near-Optimal Algorithms for Making the Gradient Small in Stochastic Minimax Optimization JMLR 2024 On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness Results and Improved Analysis COLT 2024 Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization ICML 2023 Faster Stochastic Algorithms for Minimax Optimization under Polyak-{\L}ojasiewicz Condition NeurIPS 2022