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Generalization bounds for regression and classification on adaptive
  covering input domains

Generalization bounds for regression and classification on adaptive covering input domains

29 July 2024
Wen-Liang Hwang
ArXivPDFHTML

Papers citing "Generalization bounds for regression and classification on adaptive covering input domains"

10 / 10 papers shown
Title
Generalization Error Bounds for Deep Neural Networks Trained by SGD
Generalization Error Bounds for Deep Neural Networks Trained by SGD
Mingze Wang
Chao Ma
13
14
0
07 Jun 2022
Wide and Deep Neural Networks Achieve Optimality for Classification
Wide and Deep Neural Networks Achieve Optimality for Classification
Adityanarayanan Radhakrishnan
M. Belkin
Caroline Uhler
47
18
0
29 Apr 2022
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
177
30,069
0
01 Mar 2022
Implicit Regularization in ReLU Networks with the Square Loss
Implicit Regularization in ReLU Networks with the Square Loss
Gal Vardi
Ohad Shamir
27
51
0
09 Dec 2020
Score-Based Generative Modeling through Stochastic Differential
  Equations
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffM
SyDa
270
6,293
0
26 Nov 2020
Why Do Deep Residual Networks Generalize Better than Deep Feedforward
  Networks? -- A Neural Tangent Kernel Perspective
Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? -- A Neural Tangent Kernel Perspective
Kaixuan Huang
Yuqing Wang
Molei Tao
T. Zhao
MLT
43
97
0
14 Feb 2020
Surprises in High-Dimensional Ridgeless Least Squares Interpolation
Surprises in High-Dimensional Ridgeless Least Squares Interpolation
Trevor Hastie
Andrea Montanari
Saharon Rosset
Robert Tibshirani
126
737
0
19 Mar 2019
Reconciling modern machine learning practice and the bias-variance
  trade-off
Reconciling modern machine learning practice and the bias-variance trade-off
M. Belkin
Daniel J. Hsu
Siyuan Ma
Soumik Mandal
174
1,628
0
28 Dec 2018
Norm-Based Capacity Control in Neural Networks
Norm-Based Capacity Control in Neural Networks
Behnam Neyshabur
Ryota Tomioka
Nathan Srebro
236
583
0
27 Feb 2015
On the number of response regions of deep feed forward networks with
  piece-wise linear activations
On the number of response regions of deep feed forward networks with piece-wise linear activations
Razvan Pascanu
Guido Montúfar
Yoshua Bengio
FAtt
102
257
0
20 Dec 2013
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