Publications

Dropout: Explicit Forms and Capacity Control
(alphabetical order) Raman Arora, Peter Bartlett, Poorya Mianjy, Nathan Srebro.
Proceedings of The 38th International Conference on Machine Learning (ICML), 2021.
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Robust Learning for Data Poisoning Attacks
Yunjuan Wang, Poorya Mianjy, and Raman Arora.
Proceedings of The 38th International Conference on Machine Learning (ICML), 2021.
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On Convergence and Generalization of Dropout Training
Poorya Mianjy and Raman Arora.
To Appear in Advances in Neural Information Processing Systems (NeurIPS), 2020.
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On Dropout and Nuclear Norm Regularization
Poorya Mianjy and Raman Arora.
Proceedings of The 36th International Conference on Machine Learning (ICML), 2019.
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Understanding Deep Neural Networks with Rectified Linear Units
(alphabetical order) Raman Arora, Amitabh Basu, Poorya Mianjy, and Anirbit Mukherjee.
Proceedings of the International Conference on Learning Representations (ICLR), 2018.
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Streaming Kernel PCA with Random Features
Enayat Ullah, Poorya Mianjy, Teodor Marinov, and Raman Arora.
Advances in Neural Information Processing Systems (NeurIPS), 2018.
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On the Implicit Bias of Dropout
Poorya Mianjy, Raman Arora, and Rene Vidal.
Proceedings of The 35th International Conference on Machine Learning (ICML), 2018.
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Streaming Principal Component Analysis in Noisy Settings
(equal contribution) Teodor V. Marinov*, Poorya Mianjy*, and Raman Arora.
Proceedings of The 35th International Conference on Machine Learning (ICML), 2018.
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Stochastic Approximation for Canonical Correlation Analysis
(alphabetical order) Raman Arora, Teodor Marinov, Poorya Mianjy, Nathan Srebro.
Advances in Neural Information Processing Systems (NeurIPS), 2017.
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Stochastic Optimization for Multiview Representation Learning using Partial Least Squares
Raman Arora, Poorya Mianjy, and Teodor Marinov.
Proceedings of The 33rd International Conference on Machine Learning (ICML), 2016.
[paper] [source] [ bib ]

