Poorya Mianjy

According to our database1, Poorya Mianjy authored at least 14 papers between 2016 and 2019.

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Bibliography

2019
On Dropout and Nuclear Norm Regularization.
CoRR, 2019

On Dropout and Nuclear Norm Regularization.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Streaming Kernel PCA with Õ(√n) Random Features.
CoRR, 2018

On the Implicit Bias of Dropout.
CoRR, 2018

Streaming Kernel PCA with \tilde{O}(\sqrt{n}) Random Features.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

On the Implicit Bias of Dropout.
Proceedings of the 35th International Conference on Machine Learning, 2018

Stochastic PCA with 𝓁2 and 𝓁1 Regularization.
Proceedings of the 35th International Conference on Machine Learning, 2018

Streaming Principal Component Analysis in Noisy Settings.
Proceedings of the 35th International Conference on Machine Learning, 2018

Understanding Deep Neural Networks with Rectified Linear Units.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Understanding Deep Neural Networks with Rectified Linear Units.
Electronic Colloquium on Computational Complexity (ECCC), 2017

Stochastic Approximation for Canonical Correlation Analysis.
CoRR, 2017

Stochastic Approximation for Canonical Correlation Analysis.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Understanding Deep Neural Networks with Rectified Linear Units.
CoRR, 2016

Stochastic Optimization for Multiview Representation Learning using Partial Least Squares.
Proceedings of the 33nd International Conference on Machine Learning, 2016


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