Xufeng Cai

5 papers · 2022–2025 · 3 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 (12)

Venues

ICLR (2) NeurIPS (2) ICML (1)

Top co-authors

Jelena Diakonikolas (5) Chaobing Song (2) Ahmet Alacaoglu (1) Cheuk Yin Lin (1) Cristóbal Guzmán (1) Stephen Wright (1)

Research topics

Machine Learning (5) Optimization & Theory · Machine Learning (5) Mathematics & Optimization (3) Optimization (3) Learning Types (2) Artificial Intelligence (1) Deep Learning (1) Core AI (1) Optimization & Theory · Deep Learning (1)

Keywords

variance reduction (3) halpern iteration (2) monotone inclusion (2) convex optimization (2) stochastic gradient descent (1) finite-sum optimization (1) non-convex optimization (1) convergence analysis (1) composite optimization (1) incremental gradient (1) block coordinate descent (1) primal-dual method (1) last-iterate convergence (1) convergence bound (1) shuffling strategy (1) first-order method (1) primal-dual analysis (1) data permutation (1) shuffled stochastic gradient descent (1) cyclic coordinate method (1)

Papers

Last Iterate Convergence of Incremental Methods as a Model of Forgetting ICLR 2025 Tighter Convergence Bounds for Shuffled SGD via Primal-Dual Perspective NeurIPS 2024 Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions ICLR 2024 Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization ICML 2023 Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusions NeurIPS 2022