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Wenzhi Gao

10 papers · 2021–2025 · 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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+2 more ↓ πŸ—ΊοΈ Taxonomy Completionist (16) 🌍 Conference Polyglot Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird πŸ† Keyword Champion (2)
πŸ—ƒοΈ Keyword Collector (50) πŸ’Ž Century Club Β· Bronze

Venues

ICML (6) NeurIPS (2) ACML (1) COLT (1)

Top co-authors

Yinyu Ye (5) Madeleine Udell (3) Qi Deng (3) Ya-Chi Chu (2) Chunlin Sun (2) Laurent Ghaoui (1) Chenyu Xue (1) Ali Ahmaditeshnizi (1) Ellen Vitercik (1) Jingruo Sun (1)

Research topics

Machine Learning (9) Optimization & Theory Β· Machine Learning (9) Mathematics & Optimization (8) Optimization (8) Deep Learning (2) Optimization & Theory Β· Deep Learning (2) Artificial Intelligence (1) Core AI (1) Mathematics (1)

Keywords

first-order method (3) hypergradient descent (2) online linear programming (2) regret (2) online learning (2) stochastic optimization (2) weakly convex optimization (2) column generation (1) lipschitz continuity (1) optimization (1) online learning algorithm (1) condition number (1) adaptive regularization (1) convergence rate (1) distributed optimization (1) subgradient method (1) adaptive step size (1) convergence (1) momentum method (1) equilibrium equation (1)

Papers

Gradient Methods with Online Scaling COLT 2025 Provable and Practical Online Learning Rate Adaptation with Hypergradient Descent ICML 2025 Wait-Less Offline Tuning and Re-solving for Online Decision Making ICML 2025 Constrained Implicit Learning Framework for Neural Network Sparsification ACML 2024 Decoupling Learning and Decision-Making: Breaking the O(√T) Barrier in Online Resource Allocation with First-Order Methods ICML 2024 OptiMUS: Scalable Optimization Modeling with (MI)LP Solvers and Large Language Models ICML 2024 Stochastic Weakly Convex Optimization beyond Lipschitz Continuity ICML 2024 Delayed Algorithms for Distributed Stochastic Weakly Convex Optimization NeurIPS 2023 Solving Linear Programs with Fast Online Learning Algorithms ICML 2023 Minibatch and Momentum Model-based Methods for Stochastic Weakly Convex Optimization NeurIPS 2021