May 13, 2020 preprint Open access Implicit Regularization in Deep Learning May Not Be Explainable by Norms arXiv (Cornell University) DOI: 10.48550/arxiv.2005.06398 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 4 stored of 61 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Mini-Workshop: Nonlinear Approximation of High-dimensional Functions in Scientific Computing 2024 Oberwolfach Reports article Mathematics Mathematical Approximation and Integration Open access 0 citations Convergence of gradient descent for learning linear neural networks 2024 Advances in Continuous and Discrete Models article Computer Science Stochastic Gradient Optimization Techniques Open access 10 citations Gradient Descent for Deep Matrix Factorization: Dynamics and Implicit Bias Towards Low Rank 2022 SSRN Electronic Journal preprint Computer Science Stochastic Gradient Optimization Techniques Open access 5 citations The loss landscape of deep linear neural networks: a second-order analysis 2021 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access 1 citations 4 results References 0