Srinadh Bhojanapalli
Srinadh Bhojanapalli
Research Scientist, Google Research
Verifierad e-postadress på google.com - Startsida
TitelCiteras avÅr
Exploring generalization in deep learning
B Neyshabur, S Bhojanapalli, D McAllester, N Srebro
Advances in Neural Information Processing Systems, 5947-5956, 2017
2342017
Global optimality of local search for low rank matrix recovery
S Bhojanapalli, B Neyshabur, N Srebro
Advances in Neural Information Processing Systems, 3873-3881, 2016
2052016
A pac-bayesian approach to spectrally-normalized margin bounds for neural networks
B Neyshabur, S Bhojanapalli, N Srebro
arXiv preprint arXiv:1707.09564, 2017
1482017
Coherent matrix completion.
Y Chen, S Bhojanapalli, S Sanghavi, R Ward
arXiv preprint arXiv:1306.2979, 2013
1112013
Dropping convexity for faster semi-definite optimization
S Bhojanapalli, A Kyrillidis, S Sanghavi
Conference on Learning Theory, 530-582, 2016
1062016
Implicit regularization in matrix factorization
S Gunasekar, BE Woodworth, S Bhojanapalli, B Neyshabur, N Srebro
Advances in Neural Information Processing Systems, 6151-6159, 2017
742017
Universal matrix completion
S Bhojanapalli, P Jain
arXiv preprint arXiv:1402.2324, 2014
732014
Towards understanding the role of over-parametrization in generalization of neural networks
B Neyshabur, Z Li, S Bhojanapalli, Y LeCun, N Srebro
arXiv preprint arXiv:1805.12076, 2018
632018
Completing any low-rank matrix, provably
Y Chen, S Bhojanapalli, S Sanghavi, R Ward
The Journal of Machine Learning Research 16 (1), 2999-3034, 2015
582015
Tighter low-rank approximation via sampling the leveraged element
S Bhojanapalli, P Jain, S Sanghavi
Proceedings of the twenty-sixth annual ACM-SIAM symposium on Discrete …, 2015
362015
A new sampling technique for tensors
S Bhojanapalli, S Sanghavi
arXiv preprint arXiv:1502.05023, 2015
282015
Stabilizing gan training with multiple random projections
B Neyshabur, S Bhojanapalli, A Chakrabarti
arXiv preprint arXiv:1705.07831, 2017
222017
The role of over-parametrization in generalization of neural networks
B Neyshabur, Z Li, S Bhojanapalli, Y LeCun, N Srebro
212018
Smoothed analysis for low-rank solutions to semidefinite programs in quadratic penalty form
S Bhojanapalli, N Boumal, P Jain, P Netrapalli
arXiv preprint arXiv:1803.00186, 2018
192018
Provable Burer-Monteiro factorization for a class of norm-constrained matrix problems
D Park, A Kyrillidis, S Bhojanapalli, C Caramanis, S Sanghavi
arXiv preprint arXiv:1606.01316, 2016
192016
Provable non-convex projected gradient descent for a class of constrained matrix optimization problems
D Park, A Kyrillidis, S Bhojanapalli, C Caramanis, S Sanghavi
arXiv preprint arXiv:1606.01316, 2016
162016
Single pass PCA of matrix products
S Wu, S Bhojanapalli, S Sanghavi, AG Dimakis
Advances in Neural Information Processing Systems, 2585-2593, 2016
62016
Provable quantum state tomography via non-convex methods
A Kyrillidis, A Kalev, D Park, S Bhojanapalli, C Caramanis, S Sanghavi
arXiv preprint arXiv:1711.02524, 2017
52017
Large batch optimization for deep learning: Training bert in 76 minutes
Y You, J Li, S Reddi, J Hseu, S Kumar, S Bhojanapalli, X Song, J Demmel, ...
arXiv preprint arXiv:1904.00962 1 (5), 2019
42019
Provable compressed sensing quantum state tomography via non-convex methods
A Kyrillidis, A Kalev, D Park, S Bhojanapalli, C Caramanis, S Sanghavi
npj Quantum Information 4 (1), 36, 2018
22018
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