ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1511.07948
  4. Cited By
Learning Halfspaces and Neural Networks with Random Initialization

Learning Halfspaces and Neural Networks with Random Initialization

25 November 2015
Yuchen Zhang
J. Lee
Martin J. Wainwright
Michael I. Jordan
ArXivPDFHTML

Papers citing "Learning Halfspaces and Neural Networks with Random Initialization"

14 / 14 papers shown
Title
Learning Graph Neural Networks with Approximate Gradient Descent
Learning Graph Neural Networks with Approximate Gradient Descent
Qunwei Li
Shaofeng Zou
Leon Wenliang Zhong
GNN
32
1
0
07 Dec 2020
Learning One-hidden-layer ReLU Networks via Gradient Descent
Learning One-hidden-layer ReLU Networks via Gradient Descent
Xiao Zhang
Yaodong Yu
Lingxiao Wang
Quanquan Gu
MLT
30
134
0
20 Jun 2018
How Many Samples are Needed to Estimate a Convolutional or Recurrent
  Neural Network?
How Many Samples are Needed to Estimate a Convolutional or Recurrent Neural Network?
S. Du
Yining Wang
Xiyu Zhai
Sivaraman Balakrishnan
Ruslan Salakhutdinov
Aarti Singh
SSL
21
57
0
21 May 2018
Improved Learning of One-hidden-layer Convolutional Neural Networks with
  Overlaps
Improved Learning of One-hidden-layer Convolutional Neural Networks with Overlaps
S. Du
Surbhi Goel
MLT
30
17
0
20 May 2018
A Provably Correct Algorithm for Deep Learning that Actually Works
A Provably Correct Algorithm for Deep Learning that Actually Works
Eran Malach
Shai Shalev-Shwartz
MLT
24
30
0
26 Mar 2018
Escaping Saddles with Stochastic Gradients
Escaping Saddles with Stochastic Gradients
Hadi Daneshmand
Jonas Köhler
Aurelien Lucchi
Thomas Hofmann
24
162
0
15 Mar 2018
SGD Learns the Conjugate Kernel Class of the Network
SGD Learns the Conjugate Kernel Class of the Network
Amit Daniely
6
181
0
27 Feb 2017
Convergence Results for Neural Networks via Electrodynamics
Convergence Results for Neural Networks via Electrodynamics
Rina Panigrahy
Sushant Sachdeva
Qiuyi Zhang
MLT
MDE
29
22
0
01 Feb 2017
Reliably Learning the ReLU in Polynomial Time
Reliably Learning the ReLU in Polynomial Time
Surbhi Goel
Varun Kanade
Adam R. Klivans
J. Thaler
29
124
0
30 Nov 2016
Convexified Convolutional Neural Networks
Convexified Convolutional Neural Networks
Yuchen Zhang
Percy Liang
Martin J. Wainwright
26
64
0
04 Sep 2016
Approximation by Combinations of ReLU and Squared ReLU Ridge Functions
  with $ \ell^1 $ and $ \ell^0 $ Controls
Approximation by Combinations of ReLU and Squared ReLU Ridge Functions with ℓ1 \ell^1 ℓ1 and ℓ0 \ell^0 ℓ0 Controls
Jason M. Klusowski
Andrew R. Barron
132
142
0
26 Jul 2016
Robust Large Margin Deep Neural Networks
Robust Large Margin Deep Neural Networks
Jure Sokolić
Raja Giryes
Guillermo Sapiro
M. Rodrigues
26
307
0
26 May 2016
On the Quality of the Initial Basin in Overspecified Neural Networks
On the Quality of the Initial Basin in Overspecified Neural Networks
Itay Safran
Ohad Shamir
22
127
0
13 Nov 2015
Norm-Based Capacity Control in Neural Networks
Norm-Based Capacity Control in Neural Networks
Behnam Neyshabur
Ryota Tomioka
Nathan Srebro
127
577
0
27 Feb 2015
1