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2020 – today
- 2023
[c13]Poorya Mianjy, Raman Arora:
Robustness Guarantees for Adversarially Trained Neural Networks. NeurIPS 2023- 2022
- [c12]Yunjuan Wang, Enayat Ullah, Poorya Mianjy, Raman Arora:
Adversarial Robustness is at Odds with Lazy Training. NeurIPS 2022 - [i9]Yunjuan Wang, Enayat Ullah, Poorya Mianjy, Raman Arora
:
Adversarial Robustness is at Odds with Lazy Training. CoRR abs/2207.00411 (2022) - 2021
- [c11]Raman Arora, Peter L. Bartlett, Poorya Mianjy, Nathan Srebro:
Dropout: Explicit Forms and Capacity Control. ICML 2021: 351-361 - [c10]Yunjuan Wang, Poorya Mianjy, Raman Arora:
Robust Learning for Data Poisoning Attacks. ICML 2021: 10859-10869 - 2020
- [c9]Poorya Mianjy, Raman Arora:
On Convergence and Generalization of Dropout Training. NeurIPS 2020 - [i8]Raman Arora, Peter L. Bartlett, Poorya Mianjy, Nathan Srebro:
Dropout: Explicit Forms and Capacity Control. CoRR abs/2003.03397 (2020) - [i7]Poorya Mianjy, Raman Arora:
On Convergence and Generalization of Dropout Training. CoRR abs/2010.12711 (2020)
2010 – 2019
- 2019
- [c8]Poorya Mianjy, Raman Arora:
On Dropout and Nuclear Norm Regularization. ICML 2019: 4575-4584 - [i6]Poorya Mianjy, Raman Arora:
On Dropout and Nuclear Norm Regularization. CoRR abs/1905.11887 (2019) - 2018
- [c7]Raman Arora, Amitabh Basu, Poorya Mianjy, Anirbit Mukherjee:
Understanding Deep Neural Networks with Rectified Linear Units. ICLR (Poster) 2018 - [c6]Teodor Vanislavov Marinov, Poorya Mianjy, Raman Arora:
Streaming Principal Component Analysis in Noisy Settings. ICML 2018: 3410-3419 - [c5]Poorya Mianjy, Raman Arora:
Stochastic PCA with 𝓁2 and 𝓁1 Regularization. ICML 2018: 3528-3536 - [c4]Poorya Mianjy, Raman Arora, René Vidal:
On the Implicit Bias of Dropout. ICML 2018: 3537-3545 - [c3]Enayat Ullah, Poorya Mianjy, Teodor Vanislavov Marinov, Raman Arora:
Streaming Kernel PCA with \tilde{O}(\sqrt{n}) Random Features. NeurIPS 2018: 7322-7332 - [i5]Poorya Mianjy, Raman Arora, René Vidal:
On the Implicit Bias of Dropout. CoRR abs/1806.09777 (2018) - [i4]Enayat Ullah, Poorya Mianjy, Teodor V. Marinov, Raman Arora:
Streaming Kernel PCA with Õ(√n) Random Features. CoRR abs/1808.00934 (2018) - 2017
- [c2]Raman Arora, Teodor Vanislavov Marinov, Poorya Mianjy, Nati Srebro:
Stochastic Approximation for Canonical Correlation Analysis. NIPS 2017: 4775-4784 - [i3]Raman Arora, Teodor V. Marinov, Poorya Mianjy:
Stochastic Approximation for Canonical Correlation Analysis. CoRR abs/1702.06818 (2017) - [i2]Raman Arora, Amitabh Basu, Poorya Mianjy, Anirbit Mukherjee:
Understanding Deep Neural Networks with Rectified Linear Units. Electron. Colloquium Comput. Complex. TR17 (2017) - 2016
- [c1]Raman Arora, Poorya Mianjy, Teodor V. Marinov:
Stochastic Optimization for Multiview Representation Learning using Partial Least Squares. ICML 2016: 1786-1794 - [i1]Raman Arora, Amitabh Basu, Poorya Mianjy, Anirbit Mukherjee:
Understanding Deep Neural Networks with Rectified Linear Units. CoRR abs/1611.01491 (2016)
Coauthor Index
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