Natalie Frank

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 10

Top Topics

Binary Classification

Bayes Classifier

Top Venues

Publications

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)
Nikolaos Tsilivis, Natalie Frank, Nathan Srebro, Julia Kempe
The Price of Implicit Bias in Adversarially Robust Generalization. CoRR (2024)
Natalie Frank, Jonathan Niles-Weed
The Adversarial Consistency of Surrogate Risks for Binary Classification. CoRR (2023)
Natalie Frank, Jonathan Niles-Weed
The Adversarial Consistency of Surrogate Risks for Binary Classification. NeurIPS (2023)
Pranjal Awasthi, Natalie Frank, Anqi Mao, Mehryar Mohri, Yutao Zhong
Calibration and Consistency of Adversarial Surrogate Losses. CoRR (2021)
Pranjal Awasthi, Natalie Frank, Mehryar Mohri
On the Existence of The Adversarial Bayes Classifier. NeurIPS (2021)
Pranjal Awasthi, Natalie Frank, Anqi Mao, Mehryar Mohri, Yutao Zhong
Calibration and Consistency of Adversarial Surrogate Losses. NeurIPS (2021)
Pranjal Awasthi, Natalie Frank, Mehryar Mohri
Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks. ICML (2020)
Pranjal Awasthi, Natalie Frank, Mehryar Mohri
On the Rademacher Complexity of Linear Hypothesis Sets. CoRR (2020)
Pranjal Awasthi, Natalie Frank, Mehryar Mohri
Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks. CoRR (2020)