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ORCIDNatalie Frank
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2020 – today
- 2024
[j1]Natalie S. Frank, Jonathan Niles-Weed:
Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification. J. Mach. Learn. Res. 25: 58:1-58:41 (2024)- [c5]Andrew Engel, Zhichao Wang, Natalie Frank, Ioana Dumitriu, Sutanay Choudhury, Anand D. Sarwate, Tony Chiang:
Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models. ICLR 2024 - [i10]Natalie S. Frank:
A Notion of Uniqueness for the Adversarial Bayes Classifier. CoRR abs/2404.16956 (2024) - [i9]Natalie S. Frank:
Adversarial Consistency and the Uniqueness of the Adversarial Bayes Classifier. CoRR abs/2404.17358 (2024) - [i8]Nikolaos Tsilivis, Natalie Frank, Nathan Srebro, Julia Kempe:
The Price of Implicit Bias in Adversarially Robust Generalization. CoRR abs/2406.04981 (2024) - 2023
- [c4]Natalie Frank, Jonathan Niles-Weed:
The Adversarial Consistency of Surrogate Risks for Binary Classification. NeurIPS 2023 - [i7]Natalie Frank, Jonathan Niles-Weed:
The Adversarial Consistency of Surrogate Risks for Binary Classification. CoRR abs/2305.09956 (2023) - [i6]Andrew Engel, Zhichao Wang, Natalie S. Frank, Ioana Dumitriu, Sutanay Choudhury, Anand D. Sarwate, Tony Chiang:
Robust Explanations for Deep Neural Networks via Pseudo Neural Tangent Kernel Surrogate Models. CoRR abs/2305.14585 (2023) - 2022
- [i5]Natalie S. Frank:
Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification. CoRR abs/2206.09098 (2022) - 2021
- [c3]Pranjal Awasthi, Natalie Frank, Mehryar Mohri:
On the Existence of The Adversarial Bayes Classifier. NeurIPS 2021: 2978-2990 - [c2]Pranjal Awasthi, Natalie Frank, Anqi Mao, Mehryar Mohri, Yutao Zhong:
Calibration and Consistency of Adversarial Surrogate Losses. NeurIPS 2021: 9804-9815 - [i4]Pranjal Awasthi, Natalie Frank, Anqi Mao, Mehryar Mohri, Yutao Zhong:
Calibration and Consistency of Adversarial Surrogate Losses. CoRR abs/2104.09658 (2021) - [i3]Pranjal Awasthi, Natalie S. Frank, Mehryar Mohri:
On the Existence of the Adversarial Bayes Classifier (Extended Version). CoRR abs/2112.01694 (2021) - 2020
- [c1]Pranjal Awasthi, Natalie Frank, Mehryar Mohri:
Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks. ICML 2020: 431-441 - [i2]Pranjal Awasthi, Natalie Frank, Mehryar Mohri:
Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks. CoRR abs/2004.13617 (2020) - [i1]Pranjal Awasthi, Natalie Frank, Mehryar Mohri:
On the Rademacher Complexity of Linear Hypothesis Sets. CoRR abs/2007.11045 (2020)
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