引用次数
引用: 13,236
H-指数: 43
I10-指数 : 50
出版物: 114
Sparse Matrix Factorization
Behnam Neyshabur , Rina Panigrahy
arXiv: Learning
23
2013
On Symmetric and Asymmetric LSHs for Inner Product Search
Behnam Neyshabur , Nathan Srebro
arXiv: Machine Learning
12
2014
Norm-Based Capacity Control in Neural Networks
Behnam Neyshabur , Nathan Srebro , Ryota Tomioka
arXiv: Learning
6
2015
In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning
Behnam Neyshabur , Nathan Srebro , Ryota Tomioka
arXiv: Learning
165
2014
Data-Dependent Path Normalization in Neural Networks
Behnam Neyshabur , Nathan Srebro , Ruslan Salakhutdinov , Ryota Tomioka
arXiv: Learning
2
2015
Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations
Behnam Neyshabur , Nathan Srebro , Ruslan Salakhutdinov , Yuhuai Wu
arXiv: Learning
12
2016
Corralling a Band of Bandit Algorithms
Behnam Neyshabur , Robert E. Schapire , Alekh Agarwal , Haipeng Luo
arXiv: Learning
8
2016
Stabilizing GAN Training with Multiple Random Projections
Behnam Neyshabur , Srinadh Bhojanapalli , Ayan Chakrabarti
arXiv: Learning
2017
Exploring Generalization in Deep Learning
Behnam Neyshabur , Srinadh Bhojanapalli , Nathan Srebro , David McAllester
arXiv: Learning
15
2017
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks
Behnam Neyshabur , Srinadh Bhojanapalli , Nathan Srebro
arXiv: Learning
161
2017
Implicit Regularization in Deep Learning.
Behnam Neyshabur
arXiv: Learning
53
2017
Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks
Behnam Neyshabur , Srinadh Bhojanapalli , Nathan Srebro , Yann LeCun
arXiv: Learning
163
2018
Implicit Regularization in Matrix Factorization
Behnam Neyshabur , Srinadh Bhojanapalli , Nati Srebro , Suriya Gunasekar
neural information processing systems 30 6151 -6159
133
2017
The role of over-parametrization in generalization of neural networks
Behnam Neyshabur , Srinadh Bhojanapalli , Nathan Srebro , Yann LeCun
international conference on learning representations
101
2019
Path-SGD: Path-Normalized Optimization in Deep Neural Networks
Behnam Neyshabur , Nathan Srebro , Ruslan Salakhutdinov
arXiv: Learning
1
2015
Clustering, Hamming Embedding, Generalized LSH and the Max Norm
Behnam Neyshabur , Nathan Srebro , Yury Makarychev
arXiv: Learning
2014
The Power of Asymmetry in Binary Hashing
Payman Yadollahpour , Nathan Srebro , Yury Makarychev , Ruslan Salakhutdinov
arXiv: Learning
21
2013
Global optimality of local search for low rank matrix recovery
Behnam Neyshabur , Srinadh Bhojanapalli , Nathan Srebro
neural information processing systems 29 3880 -3888
110
2016
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks
Behnam Neyshabur , Srinadh Bhojanapalli , Nathan Srebro
international conference on learning representations
97
2017
Stronger generalization bounds for deep nets via a compression approach
Behnam Neyshabur , Sanjeev Arora , Rong Ge , Yi Zhang
international conference on machine learning 254 -263
246
2018