Cross-Entropy Loss Functions: Theoretical Analysis and Applications A Mao, M Mohri, Y Zhong International Conference on Machine Learning, 23803-23828, 2023 | 60 | 2023 |
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 | 36 | 2020 |
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 | 35 | 2021 |
H-Consistency Bounds for Surrogate Loss Minimizers P Awasthi, A Mao, M Mohri, Y Zhong International Conference on Machine Learning, 1117-1174, 2022 | 21 | 2022 |
A finer calibration analysis for adversarial robustness P Awasthi, A Mao, M Mohri, Y Zhong arXiv preprint arXiv:2105.01550, 2021 | 20 | 2021 |
Multi-Class -Consistency Bounds P Awasthi, A Mao, M Mohri, Y Zhong Advances in Neural Information Processing Systems 35, 782-795, 2022 | 18 | 2022 |
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 | 14 | 2023 |
DC-programming for neural network optimizations P Awasthi, A Mao, M Mohri, Y Zhong Journal of Global Optimization, 1-17, 2024 | 11 | 2024 |
Two-stage learning to defer with multiple experts A Mao, C Mohri, M Mohri, Y Zhong Advances in neural information processing systems 36, 2024 | 9 | 2024 |
-Consistency Bounds for Pairwise Misranking Loss Surrogates A Mao, M Mohri, Y Zhong International Conference on Machine Learning, 23743-23802, 2023 | 9 | 2023 |
Ranking with Abstention A Mao, M Mohri, Y Zhong ICML Workshop on the Many Facets of Preference-Based Learning, 2023 | 8 | 2023 |
Principled Approaches for Learning to Defer with Multiple Experts A Mao, M Mohri, Y Zhong arXiv preprint arXiv:2310.14774, 2023 | 5 | 2023 |
Structured prediction with stronger consistency guarantees A Mao, M Mohri, Y Zhong Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
-Consistency Bounds: Characterization and Extensions A Mao, M Mohri, Y Zhong Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms A Mao, M Mohri, Y Zhong arXiv preprint arXiv:2310.14772, 2023 | 4 | 2023 |
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention A Mao, M Mohri, Y Zhong arXiv preprint arXiv:2310.14770, 2023 | 4 | 2023 |
Differentially Private Domain Adaptation with Theoretical Guarantees R Bassily, C Cortes, A Mao, M Mohri arXiv preprint arXiv:2306.08838, 2023 | | 2023 |