Natalie Frank

According to our database, Natalie Frank authored at least 8 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Robust Explanations for Deep Neural Networks via Pseudo Neural Tangent Kernel Surrogate Models.

Andrew Engel, Zhichao Wang, Natalie S. Frank, Ioana Dumitriu, Sutanay Choudhury, Anand D. Sarwate, Tony Chiang

CoRR, 2023

The Adversarial Consistency of Surrogate Risks for Binary Classification.

Natalie Frank, Jonathan Niles-Weed

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification.

Natalie S. Frank

CoRR, 2022

2021

On the Existence of the Adversarial Bayes Classifier (Extended Version).

Pranjal Awasthi, Natalie S. Frank, Mehryar Mohri

CoRR, 2021

Calibration and Consistency of Adversarial Surrogate Losses.

Pranjal Awasthi, Natalie Frank, Anqi Mao, Mehryar Mohri, Yutao Zhong

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On the Existence of The Adversarial Bayes Classifier.

Pranjal Awasthi, Natalie Frank, Mehryar Mohri

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

On the Rademacher Complexity of Linear Hypothesis Sets.

Pranjal Awasthi, Natalie Frank, Mehryar Mohri

CoRR, 2020

Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks.

Pranjal Awasthi, Natalie Frank, Mehryar Mohri

Proceedings of the 37th International Conference on Machine Learning, 2020