Behnam Neyshabur
Behnam Neyshabur
Sr. Research Scientist, Google
Verified email at google.com - Homepage
TitleCited byYear
Exploring generalization in deep learning
B Neyshabur, S Bhojanapalli, D McAllester, N Srebro
Advances in Neural Information Processing Systems, 5947-5956, 2017
2312017
Global Optimality of Local Search for Low Rank Matrix Recovery
S Bhojanapalli, B Neyshabur, N Srebro
Advances in Neural Information Processing Systems, 2016
2052016
Norm-Based Capacity Control in Neural Networks
B Neyshabur, R Tomioka, N Srebro
Conference on Learning Theory, 1376–1401, 2015
1542015
Stronger generalization bounds for deep nets via a compression approach
S Arora, R Ge, B Neyshabur, Y Zhang
The 35th International Conference on Machine Learning, 2018
1462018
A pac-bayesian approach to spectrally-normalized margin bounds for neural networks
B Neyshabur, S Bhojanapalli, N Srebro
International Conference on Learning Representations, 2018
1452018
NETAL: a new graph-based method for global alignment of protein–protein interaction networks
B Neyshabur, A Khadem, S Hashemifar, SS Arab
Bioinformatics 29 (13), 1654-1662, 2013
1342013
Path-SGD: Path-Normalized Optimization in Deep Neural Networks
B Neyshabur, RR Salakhutdinov, N Srebro
Advances in Neural Information Processing Systems, 2413-2421, 2015
1252015
In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning
B Neyshabur, R Tomioka, N Srebro
International Conference on Learning Representations, 2015
1242015
On Symmetric and Asymmetric LSHs for Inner Product Search
B Neyshabur, N Srebro
The 32nd International Conference on Machine Learning, 1926–1934, 2015
1072015
Towards understanding the role of over-parametrization in generalization of neural networks
B Neyshabur, Z Li, S Bhojanapalli, Y LeCun, N Srebro
International Conference on Learning Representations, 2019
79*2019
Implicit regularization in matrix factorization
S Gunasekar, BE Woodworth, S Bhojanapalli, B Neyshabur, N Srebro
Advances in Neural Information Processing Systems, 6151-6159, 2017
732017
The Power of Asymmetry in Binary Hashing
B Neyshabur, P Yadollahpour, N Srebro, R Salakhutdinov, Y Makarychev
Advances in Neural Information Processing Systems, 2823-2831, 2013
442013
Geometry of optimization and implicit regularization in deep learning
B Neyshabur, R Tomioka, R Salakhutdinov, N Srebro
arXiv preprint arXiv:1705.03071, 2017
422017
Corralling a band of bandit algorithms
A Agarwal, H Luo, B Neyshabur, RE Schapire
Conference on Learning Theory, 2017
292017
Implicit regularization in deep learning
B Neyshabur
PhD Thesis, 2017
262017
Sparse Matrix Factorization
B Neyshabur, R Panigrahy
arXiv preprint arXiv:1311.3315, 2014
232014
Stabilizing gan training with multiple random projections
B Neyshabur, S Bhojanapalli, A Chakrabarti
arXiv preprint arXiv:1705.07831, 2017
222017
Predicting protein–protein interactions through sequence-based deep learning
S Hashemifar, B Neyshabur, AA Khan, J Xu
Bioinformatics 34 (17), i802-i810, 2018
202018
Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations
B Neyshabur, Y Wu, R Salakhutdinov, N Srebro
Advances in Neural Information Processing Systems, 2016
162016
Data-Dependent Path Normalization in Neural Networks
B Neyshabur, R Tomioka, R Salakhutdinov, N Srebro
International Conference on Learning Representations, 2016
142016
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