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Natalie Frank
Postdoc, Applied Math, University of Washington
Joined
May 2021
Names
Natalie Frank
(Preferred)
,
Natalie Sara Frank
,
Natalie S. Frank
Emails
****@nyu.edu
(Confirmed)
,
****@uw.edu
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
ORCID
Career & Education History
Postdoc
Applied Math,
University of Washington
(uw.edu)
2024
–
Present
PhD student
Mathematics & Statistics,
New York University
(nyu.edu)
2017
–
2024
Undergrad student
University of Washington, Seattle
(uw.edu)
2013
–
2017
Advisors, Relations & Conflicts
Coauthor
Claire Jie Zhang
2025
–
Present
Coworker
Nikos Tsvilis
2023
–
Present
Postdoc Advisor
Bamdad Hosseini
2024
–
2026
PhD Advisor
Jonathan Niles-Weed
2021
–
2024
PhD Advisor
Miranda Holmes-Cerfon
2021
–
2023
Coauthor
Pranjal Awasthi
2019
–
2021
PhD Advisor
Mehryar Mohri
2019
–
2021
Expertise
Adversarial Learning
Present
Publications
The Consistency of Adversarial Training for Binary Classification
Natalie S. Frank
,
Jonathan Niles-Weed
Published: 01 Jan 2022, Last Modified: 26 Apr 2023
CoRR 2022
Readers:
Everyone
Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification
Natalie S. Frank
Published: 01 Jan 2022, Last Modified: 26 Apr 2023
CoRR 2022
Readers:
Everyone
Calibration and Consistency of Adversarial Surrogate Losses
Pranjal Awasthi
,
Natalie Frank
,
Anqi Mao
,
Mehryar Mohri
,
Yutao Zhong
Published: 09 Nov 2021, Last Modified: 05 May 2023
NeurIPS 2021 Spotlight
Readers:
Everyone
On the Existence of The Adversarial Bayes Classifier
Pranjal Awasthi
,
Natalie Frank
,
Mehryar Mohri
Published: 09 Nov 2021, Last Modified: 05 May 2023
NeurIPS 2021 Spotlight
Readers:
Everyone
Calibration and Consistency of Adversarial Surrogate Losses
Pranjal Awasthi
,
Natalie Frank
,
Anqi Mao
,
Mehryar Mohri
,
Yutao Zhong
2021 (modified: 16 Nov 2022)
NeurIPS 2021
Readers:
Everyone
On the Existence of the Adversarial Bayes Classifier (Extended Version)
Pranjal Awasthi
,
Natalie S. Frank
,
Mehryar Mohri
Published: 01 Jan 2021, Last Modified: 26 Apr 2023
CoRR 2021
Readers:
Everyone
On the Rademacher Complexity of Linear Hypothesis Sets
Pranjal Awasthi
,
Natalie Frank
,
Mehryar Mohri
2020 (modified: 16 May 2025)
CoRR 2020
Readers:
Everyone
Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks
Pranjal Awasthi
,
Natalie Frank
,
Mehryar Mohri
2020 (modified: 26 Apr 2023)
ICML 2020
Readers:
Everyone
Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks
Pranjal Awasthi
,
Natalie Frank
,
Mehryar Mohri
2020 (modified: 16 May 2025)
CoRR 2020
Readers:
Everyone
Co-Authors
Anqi Mao
Jonathan Niles-Weed
Mehryar Mohri
Pranjal Awasthi
Yutao Zhong