Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1901.08584
Cited By
Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks
24 January 2019
Sanjeev Arora
S. Du
Wei Hu
Zhiyuan Li
Ruosong Wang
MLT
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks"
42 / 192 papers shown
Title
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks
Kenta Oono
Taiji Suzuki
AI4CE
34
31
0
15 Jun 2020
Global Attention Improves Graph Networks Generalization
Omri Puny
Heli Ben-Hamu
Y. Lipman
27
22
0
14 Jun 2020
Non-convergence of stochastic gradient descent in the training of deep neural networks
Patrick Cheridito
Arnulf Jentzen
Florian Rossmannek
14
37
0
12 Jun 2020
Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory
Yufeng Zhang
Qi Cai
Zhuoran Yang
Yongxin Chen
Zhaoran Wang
OOD
MLT
58
11
0
08 Jun 2020
Speedy Performance Estimation for Neural Architecture Search
Binxin Ru
Clare Lyle
Lisa Schut
M. Fil
Mark van der Wilk
Y. Gal
13
35
0
08 Jun 2020
Feature Purification: How Adversarial Training Performs Robust Deep Learning
Zeyuan Allen-Zhu
Yuanzhi Li
MLT
AAML
27
146
0
20 May 2020
Learning the gravitational force law and other analytic functions
Atish Agarwala
Abhimanyu Das
Rina Panigrahy
Qiuyi Zhang
MLT
6
0
0
15 May 2020
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond
Fanghui Liu
Xiaolin Huang
Yudong Chen
Johan A. K. Suykens
BDL
32
172
0
23 Apr 2020
Analysis of Knowledge Transfer in Kernel Regime
Arman Rahbar
Ashkan Panahi
Chiranjib Bhattacharyya
Devdatt Dubhashi
M. Chehreghani
13
3
0
30 Mar 2020
Frequency Bias in Neural Networks for Input of Non-Uniform Density
Ronen Basri
Meirav Galun
Amnon Geifman
David Jacobs
Yoni Kasten
S. Kritchman
34
182
0
10 Mar 2020
An Optimization and Generalization Analysis for Max-Pooling Networks
Alon Brutzkus
Amir Globerson
MLT
AI4CE
11
4
0
22 Feb 2020
Learning Parities with Neural Networks
Amit Daniely
Eran Malach
15
76
0
18 Feb 2020
Convergence of End-to-End Training in Deep Unsupervised Contrastive Learning
Zixin Wen
SSL
18
2
0
17 Feb 2020
Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality
Yi Zhang
Orestis Plevrakis
S. Du
Xingguo Li
Zhao-quan Song
Sanjeev Arora
21
51
0
16 Feb 2020
Proving the Lottery Ticket Hypothesis: Pruning is All You Need
Eran Malach
Gilad Yehudai
Shai Shalev-Shwartz
Ohad Shamir
48
271
0
03 Feb 2020
Memory capacity of neural networks with threshold and ReLU activations
Roman Vershynin
23
21
0
20 Jan 2020
Deep Network Approximation for Smooth Functions
Jianfeng Lu
Zuowei Shen
Haizhao Yang
Shijun Zhang
35
247
0
09 Jan 2020
Towards Understanding the Spectral Bias of Deep Learning
Yuan Cao
Zhiying Fang
Yue Wu
Ding-Xuan Zhou
Quanquan Gu
21
214
0
03 Dec 2019
Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators
Reinhard Heckel
Mahdi Soltanolkotabi
DiffM
27
81
0
31 Oct 2019
Neural Spectrum Alignment: Empirical Study
Dmitry Kopitkov
Vadim Indelman
14
14
0
19 Oct 2019
Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks
Sanjeev Arora
S. Du
Zhiyuan Li
Ruslan Salakhutdinov
Ruosong Wang
Dingli Yu
AAML
9
161
0
03 Oct 2019
Beyond Linearization: On Quadratic and Higher-Order Approximation of Wide Neural Networks
Yu Bai
J. Lee
11
116
0
03 Oct 2019
Towards Understanding the Transferability of Deep Representations
Hong Liu
Mingsheng Long
Jianmin Wang
Michael I. Jordan
16
25
0
26 Sep 2019
Asymptotics of Wide Networks from Feynman Diagrams
Ethan Dyer
Guy Gur-Ari
19
113
0
25 Sep 2019
The generalization error of random features regression: Precise asymptotics and double descent curve
Song Mei
Andrea Montanari
39
624
0
14 Aug 2019
Kernel and Rich Regimes in Overparametrized Models
Blake E. Woodworth
Suriya Gunasekar
Pedro H. P. Savarese
E. Moroshko
Itay Golan
J. Lee
Daniel Soudry
Nathan Srebro
19
353
0
13 Jun 2019
Norm-based generalisation bounds for multi-class convolutional neural networks
Antoine Ledent
Waleed Mustafa
Yunwen Lei
Marius Kloft
8
5
0
29 May 2019
Gram-Gauss-Newton Method: Learning Overparameterized Neural Networks for Regression Problems
Tianle Cai
Ruiqi Gao
Jikai Hou
Siyu Chen
Dong Wang
Di He
Zhihua Zhang
Liwei Wang
ODL
11
57
0
28 May 2019
What Can ResNet Learn Efficiently, Going Beyond Kernels?
Zeyuan Allen-Zhu
Yuanzhi Li
24
183
0
24 May 2019
Gradient Descent can Learn Less Over-parameterized Two-layer Neural Networks on Classification Problems
Atsushi Nitanda
Geoffrey Chinot
Taiji Suzuki
MLT
8
33
0
23 May 2019
A type of generalization error induced by initialization in deep neural networks
Yaoyu Zhang
Zhi-Qin John Xu
Tao Luo
Zheng Ma
9
49
0
19 May 2019
Linearized two-layers neural networks in high dimension
Behrooz Ghorbani
Song Mei
Theodor Misiakiewicz
Andrea Montanari
MLT
11
241
0
27 Apr 2019
On Exact Computation with an Infinitely Wide Neural Net
Sanjeev Arora
S. Du
Wei Hu
Zhiyuan Li
Ruslan Salakhutdinov
Ruosong Wang
22
899
0
26 Apr 2019
A Selective Overview of Deep Learning
Jianqing Fan
Cong Ma
Yiqiao Zhong
BDL
VLM
25
136
0
10 Apr 2019
Analysis of the Gradient Descent Algorithm for a Deep Neural Network Model with Skip-connections
E. Weinan
Chao Ma
Qingcan Wang
Lei Wu
MLT
21
22
0
10 Apr 2019
Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks
Mingchen Li
Mahdi Soltanolkotabi
Samet Oymak
NoLa
26
350
0
27 Mar 2019
Gradient Descent Finds Global Minima of Deep Neural Networks
S. Du
J. Lee
Haochuan Li
Liwei Wang
M. Tomizuka
ODL
15
1,120
0
09 Nov 2018
A Priori Estimates of the Population Risk for Two-layer Neural Networks
Weinan E
Chao Ma
Lei Wu
24
130
0
15 Oct 2018
Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel
Colin Wei
J. Lee
Qiang Liu
Tengyu Ma
18
243
0
12 Oct 2018
PAC-Bayesian Margin Bounds for Convolutional Neural Networks
Konstantinos Pitas
Mike Davies
P. Vandergheynst
BDL
41
12
0
30 Dec 2017
High-dimensional dynamics of generalization error in neural networks
Madhu S. Advani
Andrew M. Saxe
AI4CE
33
463
0
10 Oct 2017
Norm-Based Capacity Control in Neural Networks
Behnam Neyshabur
Ryota Tomioka
Nathan Srebro
116
577
0
27 Feb 2015
Previous
1
2
3
4