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Anqi Mao
Anqi Mao
PhD Student, Courant Institute of Mathematical Sciences
Verified email at cims.nyu.edu - Homepage
Title
Cited by
Cited by
Year
Cross-Entropy Loss Functions: Theoretical Analysis and Applications
A Mao, M Mohri, Y Zhong
International Conference on Machine Learning, 23803-23828, 2023
602023
Variational training of neural network approximations of solution maps for physical models
Y Li, J Lu, A Mao
Journal of Computational Physics 409, 109338, 2020
362020
Calibration and consistency of adversarial surrogate losses
P Awasthi, N Frank, A Mao, M Mohri, Y Zhong
Advances in Neural Information Processing Systems 34, 9804-9815, 2021
352021
H-Consistency Bounds for Surrogate Loss Minimizers
P Awasthi, A Mao, M Mohri, Y Zhong
International Conference on Machine Learning, 1117-1174, 2022
212022
A finer calibration analysis for adversarial robustness
P Awasthi, A Mao, M Mohri, Y Zhong
arXiv preprint arXiv:2105.01550, 2021
202021
Multi-Class -Consistency Bounds
P Awasthi, A Mao, M Mohri, Y Zhong
Advances in Neural Information Processing Systems 35, 782-795, 2022
182022
Theoretically Grounded Loss Functions and Algorithms for Adversarial Robustness
P Awasthi, A Mao, M Mohri, Y Zhong
International Conference on Artificial Intelligence and Statistics, 10077-10094, 2023
142023
DC-programming for neural network optimizations
P Awasthi, A Mao, M Mohri, Y Zhong
Journal of Global Optimization, 1-17, 2024
112024
Two-stage learning to defer with multiple experts
A Mao, C Mohri, M Mohri, Y Zhong
Advances in neural information processing systems 36, 2024
92024
-Consistency Bounds for Pairwise Misranking Loss Surrogates
A Mao, M Mohri, Y Zhong
International Conference on Machine Learning, 23743-23802, 2023
92023
Ranking with Abstention
A Mao, M Mohri, Y Zhong
ICML Workshop on the Many Facets of Preference-Based Learning, 2023
82023
Principled Approaches for Learning to Defer with Multiple Experts
A Mao, M Mohri, Y Zhong
arXiv preprint arXiv:2310.14774, 2023
52023
Structured prediction with stronger consistency guarantees
A Mao, M Mohri, Y Zhong
Advances in Neural Information Processing Systems 36, 2024
42024
-Consistency Bounds: Characterization and Extensions
A Mao, M Mohri, Y Zhong
Advances in Neural Information Processing Systems 36, 2024
42024
Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms
A Mao, M Mohri, Y Zhong
arXiv preprint arXiv:2310.14772, 2023
42023
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention
A Mao, M Mohri, Y Zhong
arXiv preprint arXiv:2310.14770, 2023
42023
Differentially Private Domain Adaptation with Theoretical Guarantees
R Bassily, C Cortes, A Mao, M Mohri
arXiv preprint arXiv:2306.08838, 2023
2023
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