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Chaobing Song

10 papers · 2017–2023 · 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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+1 more ↓ 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird
💎 Century Club · Bronze

Venues

NeurIPS (7) ICML (3)

Top co-authors

Jelena Diakonikolas (6) Yi Ma (3) Yong Jiang (3) Xufeng Cai (2) Cheuk Yin Lin (2) Stephen Wright (2) Chong You (1) Chenghui Li (1) Shaobo Cui (1) Cristóbal Guzmán (1)

Research topics

Machine Learning (10) Mathematics & Optimization (9) Optimization (9) Optimization & Theory · Machine Learning (8) Deep Learning (2) Core Methods (2) Optimization & Theory · Deep Learning (2) Artificial Intelligence (1) Core AI (1) Learning Types (1) Mathematics (1)

Keywords

variance reduction (6) convex optimization (5) stochastic optimization (2) non-convex optimization (2) coordinate descent (2) composite optimization (2) stochastic gradient (2) first-order method (2) finite-sum optimization (1) self-supervised learning (1) feature learning (1) convergence analysis (1) variational inequality (1) numerical optimization (1) game theory (1) representation learning (1) primal-dual algorithm (1) l1 regularization (1) complexity analysis (1) wasserstein distance (1)

Papers

Accelerated Cyclic Coordinate Dual Averaging with Extrapolation for Composite Convex Optimization ICML 2023 Cyclic Block Coordinate Descent With Variance Reduction for Composite Nonconvex Optimization ICML 2023 A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data NeurIPS 2022 Coordinate Linear Variance Reduction for Generalized Linear Programming NeurIPS 2022 Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusions NeurIPS 2022 Variance Reduction via Primal-Dual Accelerated Dual Averaging for Nonsmooth Convex Finite-Sums ICML 2021 Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction NeurIPS 2020 Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities NeurIPS 2020 Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization NeurIPS 2020 Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex NeurIPS 2017