Cheuk Yin Lin

4 papers · 2021–2024 · 2 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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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11)

Venues

ICML (2) NeurIPS (2)

Top co-authors

Jelena Diakonikolas (4) Chaobing Song (2) Xufeng Cai (1) Alejandro Carderera (1) Sebastian Pokutta (1) Stephen Wright (1)

Research topics

Machine Learning (4) Mathematics & Optimization (4) Optimization (4) Optimization & Theory · Machine Learning (4) Deep Learning (1) Learning Types (1) Optimization & Theory · Deep Learning (1)

Keywords

convex optimization (4) variance reduction (2) convergence analysis (1) composite optimization (1) coordinate descent (1) strong convexity (1) projection-free optimization (1) distributionally robust optimization (1) conditional gradient (1) primal-dual method (1) convergence bound (1) shuffling strategy (1) first-order method (1) first-order algorithm (1) coordinate optimization (1) primal-dual analysis (1) local acceleration (1) data permutation (1) shuffled stochastic gradient descent (1) cyclic coordinate method (1)

Papers

Tighter Convergence Bounds for Shuffled SGD via Primal-Dual Perspective NeurIPS 2024 Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization ICML 2023 Coordinate Linear Variance Reduction for Generalized Linear Programming NeurIPS 2022 Parameter-free Locally Accelerated Conditional Gradients ICML 2021