Poorya Mianjy

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Raman AroraDepartment of Computer Science, Johns Hopkins UniversityVerified email at cs.jhu.edu
Anirbit MukherjeeWharton (UPenn), Department of StatisticsVerified email at wharton.upenn.edu
Teodor MarinovJohns Hopkins UniversityVerified email at jhu.edu
Amitabh BasuJohns Hopkins UniversityVerified email at jhu.edu
Nathan SrebroProfessor, TTIC and University of ChicagoVerified email at ttic.edu
Rene VidalMINDS Director & Seder Professor at Johns Hopkins University, Amazon Scholar, NORCE Chief ScientistVerified email at jhu.edu
Enayat UllahJohns Hopkins UniversityVerified email at jhu.edu
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Yunjuan WangJohns Hopkins UniversityVerified email at jhu.edu

Poorya Mianjy

Johns Hopkins University

Verified email at jhu.edu - Homepage

Machine Learning


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Understanding Deep Neural Networks with Rectified Linear Units R Arora, A Basu, P Mianjy, A Mukherjee International Conference on Learning Representations, 2018	410	2018
On the Implicit Bias of Dropout P Mianjy, R Arora, R Vidal International Conference on Machine Learning, 3537--3545, 2018	50	2018
Stochastic approximation for canonical correlation analysis R Arora, TV Marinov, P Mianjy, N Srebro Advances in Neural Information Processing Systems 30, 4775-4784, 2017	31	2017
Stochastic optimization for multiview representation learning using partial least squares R Arora, P Mianjy, T Marinov International Conference on Machine Learning, 1786-1794, 2016	28	2016
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	21*	2018
Stochastic PCA with and Regularization P Mianjy, R Arora International Conference on Machine Learning, 3531-3539, 2018	14*	2018
Streaming principal component analysis in noisy setting TV Marinov, P Mianjy, R Arora International Conference on Machine Learning, 3413-3422, 2018	13	2018
On Dropout and Nuclear Norm Regularization P Mianjy, R Arora International Conference on Machine Learning, 4575--4584, 2019	11	2019
Dropout: Explicit forms and capacity control R Arora, P Bartlett, P Mianjy, N Srebro International Conference on Machine Learning, 351-361, 2021	10	2021
On Convergence and Generalization of Dropout Training P Mianjy, R Arora Advances in Neural Information Processing Systems 33, 2020	7	2020
Robust Learning for Data Poisoning Attacks Y Wang, P Mianjy, R Arora International Conference on Machine Learning, 10859-10869, 2021	1	2021

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