Finite Sample Identification of Wide Shallow Neural Networks with Biases

Finite Sample Identification of Wide Shallow Neural Networks with Biases

8 November 2022

Michael Rauchensteiner

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Papers citing "Finite Sample Identification of Wide Shallow Neural Networks with Biases"

18 / 18 papers shown

Title
Memorization and Optimization in Deep Neural Networks with Minimum Over-parameterization Simone Bombari Mohammad Hossein Amani Marco Mondelli 67 26 0 20 May 2022
Landscape analysis of an improved power method for tensor decomposition Joe Kileel T. Klock João M. Pereira 55 10 0 29 Oct 2021
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network Mo Zhou Rong Ge Chi Jin 115 46 0 04 Feb 2021
On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths Quynh N. Nguyen 104 48 0 24 Jan 2021
Network size and weights size for memorization with two-layers neural networks Sébastien Bubeck Ronen Eldan Y. Lee Dan Mikulincer 60 33 0 04 Jun 2020
Learning deep linear neural networks: Riemannian gradient flows and convergence to global minimizers B. Bah Holger Rauhut Ulrich Terstiege Michael Westdickenberg MLT 34 66 0 12 Oct 2019
Kernel and Rich Regimes in Overparametrized Models Blake E. Woodworth Suriya Gunasekar Pedro H. P. Savarese E. Moroshko Itay Golan Jason D. Lee Daniel Soudry Nathan Srebro 80 364 0 13 Jun 2019
Quadratic Suffices for Over-parametrization via Matrix Chernoff Bound Zhao Song Xin Yang 63 91 0 09 Jun 2019
Implicit Regularization in Deep Matrix Factorization Sanjeev Arora Nadav Cohen Wei Hu Yuping Luo AI4CE 85 509 0 31 May 2019
Global Convergence of Adaptive Gradient Methods for An Over-parameterized Neural Network Xiaoxia Wu S. Du Rachel A. Ward 75 66 0 19 Feb 2019
Stochastic Gradient Descent Optimizes Over-parameterized Deep ReLU Networks Difan Zou Yuan Cao Dongruo Zhou Quanquan Gu ODL 190 448 0 21 Nov 2018
Gradient Descent Provably Optimizes Over-parameterized Neural Networks S. Du Xiyu Zhai Barnabás Póczós Aarti Singh MLT ODL 227 1,275 0 04 Oct 2018
Theoretical insights into the optimization landscape of over-parameterized shallow neural networks Mahdi Soltanolkotabi Adel Javanmard Jason D. Lee 175 422 0 16 Jul 2017
Recovery Guarantees for One-hidden-layer Neural Networks Kai Zhong Zhao Song Prateek Jain Peter L. Bartlett Inderjit S. Dhillon MLT 175 337 0 10 Jun 2017
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 345 4,636 0 10 Nov 2016
In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning Behnam Neyshabur Ryota Tomioka Nathan Srebro AI4CE 94 660 0 20 Dec 2014
Provable Methods for Training Neural Networks with Sparse Connectivity Hanie Sedghi Anima Anandkumar 69 64 0 08 Dec 2014
Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank- $1$ Updates Anima Anandkumar Rong Ge Majid Janzamin 127 131 0 21 Feb 2014

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