Belkin, Misha

8 publications

NeurIPS 2023 Aiming Towards the Minimizers: Fast Convergence of SGD for Overparametrized Problems Chaoyue Liu, Dmitriy Drusvyatskiy, Misha Belkin, Damek Davis, Yian Ma

ICLR 2023 Restricted Strong Convexity of Deep Learning Models with Smooth Activations Arindam Banerjee, Pedro Cisneros-Velarde, Libin Zhu, Misha Belkin

NeurIPS 2022 Benign Overfitting in Two-Layer Convolutional Neural Networks Yuan Cao, Zixiang Chen, Misha Belkin, Quanquan Gu

NeurIPS 2022 Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting Neil Mallinar, James Simon, Amirhesam Abedsoltan, Parthe Pandit, Misha Belkin, Preetum Nakkiran

NeurIPS 2022 Transition to Linearity of General Neural Networks with Directed Acyclic Graph Architecture Libin Zhu, Chaoyue Liu, Misha Belkin

ICLR 2022 Transition to Linearity of Wide Neural Networks Is an Emerging Property of Assembling Weak Models Chaoyue Liu, Libin Zhu, Misha Belkin

NeurIPS 2020 On the Linearity of Large Non-Linear Models: When and Why the Tangent Kernel Is Constant Chaoyue Liu, Libin Zhu, Misha Belkin

AISTATS 2005 On Manifold Regularization Misha Belkin, Partha Niyogi, Vikas Sindhwani