Poorya Mianjy

According to our database, Poorya Mianjy authored at least 15 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Robustness Guarantees for Adversarially Trained Neural Networks.

Poorya Mianjy, Raman Arora

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Adversarial Robustness is at Odds with Lazy Training.

Yunjuan Wang, Enayat Ullah, Poorya Mianjy, Raman Arora

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Robust Learning for Data Poisoning Attacks.

Yunjuan Wang, Poorya Mianjy, Raman Arora

Proceedings of the 38th International Conference on Machine Learning, 2021

Dropout: Explicit Forms and Capacity Control.

Raman Arora, Peter L. Bartlett, Poorya Mianjy, Nathan Srebro

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

On Convergence and Generalization of Dropout Training.

Poorya Mianjy, Raman Arora

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

On Dropout and Nuclear Norm Regularization.

Poorya Mianjy, Raman Arora

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

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

Enayat Ullah, Poorya Mianjy, Teodor V. Marinov, Raman Arora

CoRR, 2018

Streaming Kernel PCA with \tilde{O}(\sqrt{n}) Random Features.

Enayat Ullah, Poorya Mianjy, Teodor Vanislavov Marinov, Raman Arora

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.

Poorya Mianjy, Raman Arora, René Vidal

Proceedings of the 35th International Conference on Machine Learning, 2018

Stochastic PCA with 𝓁₂ and 𝓁₁ Regularization.

Poorya Mianjy, Raman Arora

Proceedings of the 35th International Conference on Machine Learning, 2018

Streaming Principal Component Analysis in Noisy Settings.

Teodor Vanislavov Marinov, Poorya Mianjy, Raman Arora

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Understanding Deep Neural Networks with Rectified Linear Units.

Raman Arora, Amitabh Basu, Poorya Mianjy, Anirbit Mukherjee

Electron. Colloquium Comput. Complex., 2017

Stochastic Approximation for Canonical Correlation Analysis.

Raman Arora, Teodor V. Marinov, Poorya Mianjy

CoRR, 2017

Stochastic Approximation for Canonical Correlation Analysis.

Raman Arora, Teodor Vanislavov Marinov, Poorya Mianjy, Nati Srebro

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Stochastic Optimization for Multiview Representation Learning using Partial Least Squares.

Raman Arora, Poorya Mianjy, Teodor V. Marinov

Proceedings of the 33nd International Conference on Machine Learning, 2016