Guanyi Wang

4 papers · 2020–2024 · 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 (14) 🐣 Hot Topic Early Bird

Venues

NeurIPS (2) AISTATS (1) ICML (1)

Top co-authors

Xiao Tu (1) Sheng Yi (1) Tianyu Ding (1) Yutong Dai (1) Biyi Fang (1) Frank E. Curtis (1) Bo Ji (1) Luming Liang (1) Zhihui Zhu (1) Tianyi Chen (1)

Research topics

Machine Learning (3) Mathematics & Optimization (3) Optimization (3) Optimization & Theory · Machine Learning (3) Core Methods (2) Artificial Intelligence (1) Deep Learning (1) Application Areas (1) Core AI (1) Learning Types (1) Optimization & Theory · Deep Learning (1) Techniques (1)

Keywords

sparse optimization (2) dimensionality reduction (1) neural network compression (1) neural network pruning (1) stochastic gradient (1) convex optimization (1) group sparsity (1) sparse principal component analysis (1) sparse regression (1) model pruning (1) multi-output regression (1) variance reduction (1) structured sparsity (1) optimization algorithm (1) structured pruning (1) dual bound (1) scalable optimization (1) high-dimensional output (1) proximal stochastic gradient (1) support identification (1)

Papers

Solving Sparse \& High-Dimensional-Output Regression via Compression NeurIPS 2024 A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization AISTATS 2023 Only Train Once: A One-Shot Neural Network Training And Pruning Framework NeurIPS 2021 Upper bounds for Model-Free Row-Sparse Principal Component Analysis ICML 2020