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Aravindan Vijayaraghavan
Publications
- 2023
- [c40]Pranjal Awasthi, Alex Tang, Aravindan Vijayaraghavan:
Agnostic Learning of General ReLU Activation Using Gradient Descent. ICLR 2023 - 2022
- [c39]Pranjal Awasthi, Sivaraman Balakrishnan, Aravindan Vijayaraghavan:
Understanding Simultaneous Train and Test Robustness. ALT 2022: 34-69 - [c36]Patrick O'Reilly, Pranjal Awasthi, Aravindan Vijayaraghavan, Bryan Pardo:
Effective and Inconspicuous Over-the-Air Adversarial Examples with Adaptive Filtering. ICASSP 2022: 6607-6611 - [i36]Pranjal Awasthi, Alex Tang, Aravindan Vijayaraghavan:
Agnostic Learning of General ReLU Activation Using Gradient Descent. CoRR abs/2208.02711 (2022) - 2021
- [c31]Pranjal Awasthi, Vaggos Chatziafratis, Xue Chen, Aravindan Vijayaraghavan:
Adversarially Robust Low Dimensional Representations. COLT 2021: 237-325 - [c29]Pranjal Awasthi, Alex Tang, Aravindan Vijayaraghavan:
Efficient Algorithms for Learning Depth-2 Neural Networks with General ReLU Activations. NeurIPS 2021: 13485-13496 - [i31]Pranjal Awasthi, Alex Tang, Aravindan Vijayaraghavan:
Efficient Algorithms for Learning Depth-2 Neural Networks with General ReLU Activations. CoRR abs/2107.10209 (2021) - 2020
- [c28]Pranjal Awasthi, Xue Chen, Aravindan Vijayaraghavan:
Estimating Principal Components under Adversarial Perturbations. COLT 2020: 323-362 - [c26]Pranjal Awasthi, Himanshu Jain, Ankit Singh Rawat, Aravindan Vijayaraghavan:
Adversarial robustness via robust low rank representations. NeurIPS 2020 - [i29]Pranjal Awasthi, Xue Chen, Aravindan Vijayaraghavan:
Estimating Principal Components under Adversarial Perturbations. CoRR abs/2006.00602 (2020) - [i28]Pranjal Awasthi, Himanshu Jain, Ankit Singh Rawat, Aravindan Vijayaraghavan:
Adversarial robustness via robust low rank representations. CoRR abs/2007.06555 (2020) - 2019
- [c23]Pranjal Awasthi, Abhratanu Dutta, Aravindan Vijayaraghavan:
On Robustness to Adversarial Examples and Polynomial Optimization. NeurIPS 2019: 13737-13747 - [i24]Pranjal Awasthi, Abhratanu Dutta, Aravindan Vijayaraghavan:
On Robustness to Adversarial Examples and Polynomial Optimization. CoRR abs/1911.04681 (2019) - [i23]Pranjal Awasthi, Vaggos Chatziafratis, Xue Chen, Aravindan Vijayaraghavan:
Adversarially Robust Low Dimensional Representations. CoRR abs/1911.13268 (2019) - 2018
- [c21]Pranjal Awasthi, Aravindan Vijayaraghavan:
Towards Learning Sparsely Used Dictionaries with Arbitrary Supports. FOCS 2018: 283-296 - [c20]Pranjal Awasthi, Aravindan Vijayaraghavan:
Clustering Semi-Random Mixtures of Gaussians. ICML 2018: 294-303 - [i22]Pranjal Awasthi, Aravindan Vijayaraghavan:
Towards Learning Sparsely Used Dictionaries with Arbitrary Supports. CoRR abs/1804.08603 (2018) - 2017
- [i17]Pranjal Awasthi, Aravindan Vijayaraghavan:
Clustering Semi-Random Mixtures of Gaussians. CoRR abs/1711.08841 (2017) - 2014
- [c11]Pranjal Awasthi, Avrim Blum, Or Sheffet, Aravindan Vijayaraghavan:
Learning Mixtures of Ranking Models. NIPS 2014: 2609-2617 - [i10]Pranjal Awasthi, Avrim Blum, Or Sheffet, Aravindan Vijayaraghavan:
Learning Mixtures of Ranking Models. CoRR abs/1410.8750 (2014)
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