Mianjy, Poorya

14 publications

NeurIPS 2023 Robustness Guarantees for Adversarially Trained Neural Networks Poorya Mianjy, Raman Arora

NeurIPS 2022 Adversarial Robustness Is at Odds with Lazy Training Yunjuan Wang, Enayat Ullah, Poorya Mianjy, Raman Arora

ICML 2021 Dropout: Explicit Forms and Capacity Control Raman Arora, Peter Bartlett, Poorya Mianjy, Nathan Srebro

ICML 2021 Robust Learning for Data Poisoning Attacks Yunjuan Wang, Poorya Mianjy, Raman Arora

ICLR 2020 Dropout: Explicit Forms and Capacity Control Raman Arora, Peter Bartlett, Poorya Mianjy, Nathan Srebro

NeurIPS 2020 On Convergence and Generalization of Dropout Training Poorya Mianjy, Raman Arora

ICML 2019 On Dropout and Nuclear Norm Regularization Poorya Mianjy, Raman Arora

ICML 2018 On the Implicit Bias of Dropout Poorya Mianjy, Raman Arora, Rene Vidal

ICML 2018 Stochastic PCA with $\ell_2$ and $\ell_1$ Regularization Poorya Mianjy, Raman Arora

NeurIPS 2018 Streaming Kernel PCA with $\tilde{O}(\sqrt{n})$ Random Features Enayat Ullah, Poorya Mianjy, Teodor Vanislavov Marinov, Raman Arora

ICML 2018 Streaming Principal Component Analysis in Noisy Setting Teodor Vanislavov Marinov, Poorya Mianjy, Raman Arora

ICLR 2018 Understanding Deep Neural Networks with Rectified Linear Units Raman Arora, Amitabh Basu, Poorya Mianjy, Anirbit Mukherjee

NeurIPS 2017 Stochastic Approximation for Canonical Correlation Analysis Raman Arora, Teodor Vanislavov Marinov, Poorya Mianjy, Nati Srebro

ICML 2016 Stochastic Optimization for Multiview Representation Learning Using Partial Least Squares Raman Arora, Poorya Mianjy, Teodor Marinov