January 24, 2019 preprint Open access Width Provably Matters in Optimization for Deep Linear Neural Networks arXiv (Cornell University) DOI: 10.48550/arxiv.1901.08572 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 44 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 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 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 2 results References 0