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Pranjal Awasthi

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Beyond Individual and Group Fairness

Aug 21, 2020
Pranjal Awasthi, Corinna Cortes, Yishay Mansour, Mehryar Mohri

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Adversarial robustness via robust low rank representations

Aug 01, 2020
Pranjal Awasthi, Himanshu Jain, Ankit Singh Rawat, Aravindan Vijayaraghavan

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On the Rademacher Complexity of Linear Hypothesis Sets

Jul 21, 2020
Pranjal Awasthi, Natalie Frank, Mehryar Mohri

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Adaptive Sampling to Reduce Disparate Performance

Jun 11, 2020
Jacob Abernethy, Pranjal Awasthi, Matthäus Kleindessner, Jamie Morgenstern, Jie Zhang

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A Notion of Individual Fairness for Clustering

Jun 08, 2020
Matthäus Kleindessner, Pranjal Awasthi, Jamie Morgenstern

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Estimating Principal Components under Adversarial Perturbations

Jun 02, 2020
Pranjal Awasthi, Xue Chen, Aravindan Vijayaraghavan

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Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks

Apr 28, 2020
Pranjal Awasthi, Natalie Frank, Mehryar Mohri

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Efficient active learning of sparse halfspaces with arbitrary bounded noise

Feb 12, 2020
Chicheng Zhang, Jie Shen, Pranjal Awasthi

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A Deep Conditioning Treatment of Neural Networks

Feb 04, 2020
Naman Agarwal, Pranjal Awasthi, Satyen Kale

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