Frank, Natalie

6 publications

TMLR 2025 Adversarial Surrogate Risk Bounds for Binary Classification Natalie Frank
ICLR 2024 Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models Andrew William Engel, Zhichao Wang, Natalie Frank, Ioana Dumitriu, Sutanay Choudhury, Anand Sarwate, Tony Chiang
NeurIPS 2023 The Adversarial Consistency of Surrogate Risks for Binary Classification Natalie Frank, Jonathan Niles-Weed
NeurIPS 2021 Calibration and Consistency of Adversarial Surrogate Losses Pranjal Awasthi, Natalie Frank, Anqi Mao, Mehryar Mohri, Yutao Zhong
NeurIPS 2021 On the Existence of the Adversarial Bayes Classifier Pranjal Awasthi, Natalie Frank, Mehryar Mohri
ICML 2020 Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks Pranjal Awasthi, Natalie Frank, Mehryar Mohri