Understanding Deflation Process in Over-parametrized Tensor
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Understanding Deflation Process in Over-parametrized Tensor Decomposition

11 June 2021

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Title
Alternating Gradient Flows: A Theory of Feature Learning in Two-layer Neural Networks D. Kunin Giovanni Luca Marchetti F. Chen Dhruva Karkada James B. Simon M. DeWeese Surya Ganguli Nina Miolane 26 0 0 06 Jun 2025
Incremental Learning in Diagonal Linear Networks Raphael Berthier CLL AI4CE 93 17 0 31 Aug 2022
Implicit Regularization with Polynomial Growth in Deep Tensor Factorization Kais Hariz Hachem Kadri Stéphane Ayache Maher Moakher Thierry Artières 72 3 0 18 Jul 2022
Implicit Bias of Gradient Descent on Reparametrized Models: On Equivalence to Mirror Descent Zhiyuan Li Tianhao Wang Jason D. Lee Sanjeev Arora 104 29 0 08 Jul 2022
Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay Yuetian Luo Anru R. Zhang 106 20 0 17 Jun 2022
Understanding the Generalization Benefit of Normalization Layers: Sharpness Reduction Kaifeng Lyu Zhiyuan Li Sanjeev Arora FAtt 121 75 0 14 Jun 2022
Multivariate Analysis for Multiple Network Data via Semi-Symmetric Tensor PCA Michael Weylandt George Michailidis 49 0 0 09 Feb 2022
Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks Noam Razin Asaf Maman Nadav Cohen 132 29 0 27 Jan 2022