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On Convergence and Generalization of Dropout Training.

P. Mianjy, and R. Arora. NeurIPS, (2020)

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Stochastic Approximation for Canonical Correlation Analysis.R. Arora, T. Marinov, and P. Mianjy. CoRR, (2017)Dropout: Explicit Forms and Capacity Control.R. Arora, P. Bartlett, P. Mianjy, and N. Srebro. ICML, volume 139 of Proceedings of Machine Learning Research, page 351-361. PMLR, (2021)Understanding Deep Neural Networks with Rectified Linear Units.R. Arora, A. Basu, P. Mianjy, and A. Mukherjee. CoRR, (2016)Stochastic Approximation for Canonical Correlation Analysis.R. Arora, T. Marinov, P. Mianjy, and N. Srebro. NIPS, page 4775-4784. (2017)Streaming Kernel PCA with O(n) Random Features.E. Ullah, P. Mianjy, T. Marinov, and R. Arora. NeurIPS, page 7322-7332. (2018)On the Implicit Bias of Dropout.P. Mianjy, R. Arora, and R. Vidal. ICML, volume 80 of Proceedings of Machine Learning Research, page 3537-3545. PMLR, (2018)Dropout: Explicit Forms and Capacity Control.R. Arora, P. Bartlett, P. Mianjy, and N. Srebro. CoRR, (2020)Robust Learning for Data Poisoning Attacks.Y. Wang, P. Mianjy, and R. Arora. ICML, volume 139 of Proceedings of Machine Learning Research, page 10859-10869. PMLR, (2021)On Dropout and Nuclear Norm Regularization.P. Mianjy, and R. Arora. ICML, volume 97 of Proceedings of Machine Learning Research, page 4575-4584. PMLR, (2019)Stochastic Optimization for Multiview Representation Learning using Partial Least Squares.R. Arora, P. Mianjy, and T. Marinov. ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 1786-1794. JMLR.org, (2016)

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On Convergence and Generalization of Dropout Training.

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Disambiguation of "Mianjy, Poorya"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML On Convergence and Generalization of Dropout Training.

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On Convergence and Generalization of Dropout Training.