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Babak Hassibi: Implicit and Explicit Regularization in Deep Neural Networks
On Implicit Regularization in Deep Learning
A Statistical View on Implicit Regularization: Gradient Descent Dominates Ridge – Jingfeng Wu
Implicit Regularization of SGD in High dimensional Linear Regression. Научный семинар, осень 2025
Implicit Regularization II
Optimization's Untold Gift to Learning: Implicit Regularization
Nathan Srebro Optimization's Hidden Gift to Learning: Implicit Regularization
Stanford CS229M - Lecture 17: Implicit regularization effect of the noise
Why Deep Learning Works: Implicit Self-Regularization in Deep Neural Networks
Michael Mahoney: Why Deep Learning Works: Implicit Self-Regularization in Deep Neural Networks
Implicit Regularization of Random Feature Models - ICML 2020
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Last Updated: September 27, 2026
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Nati Srebro (Toyota Technological Institute at Chicago) simons.berkeley.edu/talks/ Wei Hu (UC Berkeley) Meet the Fellows Welcome Event. Hi this is going to be a unit on Tensor Methods and Emerging Applications to the Physical and Data Sciences 2021 Workshop IV: Efficient Tensor ... Speaker: Cong Fang, Researcher at Peking University What will the talk cover? Stochastic Gradient Descent (SGD) is one of the ... Nathan Srebro Bartom, Toyota Technological Institute at Chicago simons.berkeley.edu/talks/nati-srebro-bartom-11-30-17 ... Sept. 17th, 2019, 12h00-13h00, room CONF IV (physic dpt, Rue Lhomond). Nathan Srebro (Toyota Technological Institute at ... For more information about Stanford's Artificial Intelligence professional and graduate programs visit: stanford.io/ai To ... Michael Mahoney (International Computer Science Institute and UC Berkeley) ... Machine Learning for Physics and the Physics of Learning 2019 Workshop II: Interpretable Learning in Physical Sciences "Why ... Short presentation on our new paper published at ICML 2020 ...