On the Kernel Learning Problem Yang Li and Feng Ruan Preprint, 2025 (major revision at Foundation of Computational Mathematics).
A Compositional Kernel Model for Feature Learning Feng Ruan, Keli Liu and Michael Jordan. Preprint, 2025 (major revision at Applied and Computational Harmonic Analysis).
A Theory of Feature Learning in Kernel Models Yunlu Chen, Yang Li, Keli Liu and Feng Ruan. Preprint, 2023.
On the Uniform Convergence of Subdifferentials in Stochastic Optimization and Learning Feng Ruan Mathematics of Operations Research, 2025.
Asymptotic Optimality in Stochastic Optimization Slides: [pdf] John Duchi and Feng Ruan. The Annals of Statistics, 49, 2021, 21-48.
Sparse Recovery via Differential Inclusions Stanley Osher, Feng Ruan, Jiechao Xiong, Yuan Yao and Wotao Yin. Slides: [pdf] Applied and Computational Harmonic Analysis 41 2016, 436-469.