Belkin, Mikhail

Reconciling modern machine-learning practice and the classical bias–variance trade-off

Belkin, M., Hsu, D., Ma, S., & Mandal, S. (2019) · Proceedings of the National Academy of Sciences

Stochastic Gradient Optimization TechniquesMachine Learning and Algorithms

Cited by 1,595

To understand deep learning we need to understand kernel learning

Belkin, M., Ma, S., & Mandal, S. (2018) · arXiv

Stochastic Gradient Optimization TechniquesMachine Learning and Algorithms

Cited by 201

On the linearity of large non-linear models: when and why the tangent kernel is constant

Liu, C., Zhu, L., & Belkin, M. (2020) · arXiv

Stochastic Gradient Optimization TechniquesNeural Networks and Applications

Cited by 51