Natalie Frank

12 papers A* 6Journal 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Adversarial Surrogate Risk Bounds for Binary Classification.
Trans. Mach. Learn. Res.
Natalie Frank
2024 A* conf
Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models.
ICLR
Andrew Engel, Zhichao Wang, Natalie Frank, Ioana Dumitriu, Sutanay Choudhury, Anand D. Sarwate, Tony Chiang
2024 A* conf
The Price of Implicit Bias in Adversarially Robust Generalization.
NeurIPS
Nikolaos Tsilivis, Natalie Frank, Nati Srebro, Julia Kempe
2024 J jnl
The Price of Implicit Bias in Adversarially Robust Generalization.
CoRR
Nikolaos Tsilivis, Natalie Frank, Nathan Srebro, Julia Kempe
2023 A* conf
The Adversarial Consistency of Surrogate Risks for Binary Classification.
NeurIPS
Natalie Frank, Jonathan Niles-Weed
2023 J jnl
The Adversarial Consistency of Surrogate Risks for Binary Classification.
CoRR
Natalie Frank, Jonathan Niles-Weed
2021 A* conf
Calibration and Consistency of Adversarial Surrogate Losses.
NeurIPS
Pranjal Awasthi, Natalie Frank, Anqi Mao, Mehryar Mohri, Yutao Zhong
2021 J jnl
Calibration and Consistency of Adversarial Surrogate Losses.
CoRR
Pranjal Awasthi, Natalie Frank, Anqi Mao, Mehryar Mohri, Yutao Zhong
2021 A* conf
On the Existence of The Adversarial Bayes Classifier.
NeurIPS
Pranjal Awasthi, Natalie Frank, Mehryar Mohri
2020 A* conf
Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks.
ICML
Pranjal Awasthi, Natalie Frank, Mehryar Mohri
2020 J jnl
Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks.
CoRR
Pranjal Awasthi, Natalie Frank, Mehryar Mohri
2020 J jnl
On the Rademacher Complexity of Linear Hypothesis Sets.
CoRR
Pranjal Awasthi, Natalie Frank, Mehryar Mohri