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Poorya Mianjy
Poorya Mianjy
Former PhD Student at Johns Hopkins
Verified email at jhu.edu
Title
Cited by
Cited by
Year
Understanding Deep Neural Networks with Rectified Linear Units
R Arora, A Basu, P Mianjy, A Mukherjee
International Conference on Learning Representations, 2018
6202018
On the Implicit Bias of Dropout
P Mianjy, R Arora, R Vidal
International Conference on Machine Learning, 3537--3545, 2018
742018
Stochastic approximation for canonical correlation analysis
R Arora, TV Marinov, P Mianjy, N Srebro
Advances in Neural Information Processing Systems 30, 4775-4784, 2017
392017
Streaming kernel PCA with O (√ n) random features
E Ullah, P Mianjy, TV Marinov, R Arora
Advances in Neural Information Processing Systems, 7322-7332, 2018
35*2018
Stochastic optimization for multiview representation learning using partial least squares
R Arora, P Mianjy, T Marinov
International Conference on Machine Learning, 1786-1794, 2016
322016
Dropout: Explicit forms and capacity control
R Arora, P Bartlett, P Mianjy, N Srebro
International Conference on Machine Learning, 351-361, 2021
282021
On Convergence and Generalization of Dropout Training
P Mianjy, R Arora
Advances in Neural Information Processing Systems 33, 2020
252020
Streaming principal component analysis in noisy setting
TV Marinov*, P Mianjy*, R Arora
International Conference on Machine Learning, 3413-3422, 2018
222018
Robust Learning for Data Poisoning Attacks
Y Wang, P Mianjy, R Arora
International Conference on Machine Learning, 10859-10869, 2021
212021
On Dropout and Nuclear Norm Regularization
P Mianjy, R Arora
International Conference on Machine Learning, 4575--4584, 2019
212019
Stochastic PCA with and Regularization
P Mianjy, R Arora
International Conference on Machine Learning, 3531-3539, 2018
182018
Adversarial Robustness is at Odds with Lazy Training
Y Wang, E Ullah, P Mianjy, R Arora
arXiv preprint arXiv:2207.00411, 2022
72022
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Articles 1–12