Poorya Mianjy

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 22

Top Topics

Trained Neural Networks

Canonical Correlation Analysis

Partial Least Squares

Top Venues

Electron. Colloquium Comput. Complex.

Publications

Poorya Mianjy, Raman Arora
Robustness Guarantees for Adversarially Trained Neural Networks. NeurIPS (2023)
Yunjuan Wang, Enayat Ullah, Poorya Mianjy, Raman Arora
Adversarial Robustness is at Odds with Lazy Training. NeurIPS (2022)
Yunjuan Wang, Enayat Ullah, Poorya Mianjy, Raman Arora
Adversarial Robustness is at Odds with Lazy Training. CoRR (2022)
Raman Arora, Peter Bartlett, Poorya Mianjy, Nathan Srebro
Dropout: Explicit Forms and Capacity Control. ICML (2021)
Yunjuan Wang, Poorya Mianjy, Raman Arora
Robust Learning for Data Poisoning Attacks. ICML (2021)
Raman Arora, Peter Bartlett, Poorya Mianjy, Nathan Srebro
Dropout: Explicit Forms and Capacity Control. CoRR (2020)
Poorya Mianjy, Raman Arora
On Convergence and Generalization of Dropout Training. CoRR (2020)
Poorya Mianjy, Raman Arora
On Convergence and Generalization of Dropout Training. NeurIPS (2020)
Poorya Mianjy, Raman Arora
On Dropout and Nuclear Norm Regularization. CoRR (2019)
Poorya Mianjy, Raman Arora
On Dropout and Nuclear Norm Regularization. ICML (2019)
Poorya Mianjy, Raman Arora, René Vidal
On the Implicit Bias of Dropout. CoRR (2018)
Enayat Ullah, Poorya Mianjy, Teodor V. Marinov, Raman Arora
Streaming Kernel PCA with Õ(√n) Random Features. CoRR (2018)
Teodor Vanislavov Marinov, Poorya Mianjy, Raman Arora
Streaming Principal Component Analysis in Noisy Settings. ICML (2018)
Raman Arora, Amitabh Basu, Poorya Mianjy, Anirbit Mukherjee
Understanding Deep Neural Networks with Rectified Linear Units. ICLR (Poster) (2018)
Poorya Mianjy, Raman Arora, René Vidal
On the Implicit Bias of Dropout. ICML (2018)
Enayat Ullah, Poorya Mianjy, Teodor Vanislavov Marinov, Raman Arora
Streaming Kernel PCA with \tilde{O}(\sqrt{n}) Random Features. NeurIPS (2018)
Poorya Mianjy, Raman Arora
Regularization. ICML (2018)
Raman Arora, Teodor Vanislavov Marinov, Poorya Mianjy, Nati Srebro
Stochastic Approximation for Canonical Correlation Analysis. NIPS (2017)
Raman Arora, Teodor V. Marinov, Poorya Mianjy
Stochastic Approximation for Canonical Correlation Analysis. CoRR (2017)
Raman Arora, Amitabh Basu, Poorya Mianjy, Anirbit Mukherjee
Understanding Deep Neural Networks with Rectified Linear Units. Electron. Colloquium Comput. Complex. 24 (2017)
Raman Arora, Poorya Mianjy, Teodor V. Marinov
Stochastic Optimization for Multiview Representation Learning using Partial Least Squares. ICML (2016)
Raman Arora, Amitabh Basu, Poorya Mianjy, Anirbit Mukherjee
Understanding Deep Neural Networks with Rectified Linear Units. CoRR (2016)