Cross-Entropy Loss Functions: Theoretical Analysis and Applications A Mao, M Mohri, Y Zhong
International Conference on Machine Learning, 23803-23828, 2023
77 2023 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
37 2021 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 H-Consistency Bounds for Surrogate Loss Minimizers P Awasthi, A Mao, M Mohri, Y Zhong
International Conference on Machine Learning, 1117-1174, 2022
25 2022 Multi-Class -Consistency Bounds P Awasthi, A Mao, M Mohri, Y Zhong
Advances in Neural Information Processing Systems 35, 782-795, 2022
21 2022 A finer calibration analysis for adversarial robustness P Awasthi, A Mao, M Mohri, Y Zhong
arXiv preprint arXiv:2105.01550, 2021
21 2021 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
15 2023 Two-stage learning to defer with multiple experts A Mao, C Mohri, M Mohri, Y Zhong
Advances in neural information processing systems 36, 2024
14 2024 -Consistency Bounds for Pairwise Misranking Loss SurrogatesA Mao, M Mohri, Y Zhong
International Conference on Machine Learning, 23743-23802, 2023
13 2023 Ranking with Abstention A Mao, M Mohri, Y Zhong
ICML Workshop on the Many Facets of Preference-Based Learning, 2023
13 2023 DC-programming for neural network optimizations P Awasthi, A Mao, M Mohri, Y Zhong
Journal of Global Optimization, 1-17, 2024
12 2024 Principled Approaches for Learning to Defer with Multiple Experts A Mao, M Mohri, Y Zhong
arXiv preprint arXiv:2310.14774, 2023
10 2023 -Consistency Bounds: Characterization and ExtensionsA Mao, M Mohri, Y Zhong
Advances in Neural Information Processing Systems 36, 2024
9 2024 Structured prediction with stronger consistency guarantees A Mao, M Mohri, Y Zhong
Advances in Neural Information Processing Systems 36, 46903-46937, 2023
9 2023 Theoretically grounded loss functions and algorithms for score-based multi-class abstention A Mao, M Mohri, Y Zhong
International Conference on Artificial Intelligence and Statistics, 4753-4761, 2024
8 2024 Predictor-rejector multi-class abstention: Theoretical analysis and algorithms A Mao, M Mohri, Y Zhong
International Conference on Algorithmic Learning Theory, 822-867, 2024
8 2024 -Consistency Guarantees for RegressionA Mao, M Mohri, Y Zhong
arXiv preprint arXiv:2403.19480, 2024
2024 Regression with Multi-Expert Deferral A Mao, M Mohri, Y Zhong
arXiv preprint arXiv:2403.19494, 2024
2024 Top- Classification and Cardinality-Aware Prediction A Mao, M Mohri, Y Zhong
arXiv preprint arXiv:2403.19625, 2024
2024 Differentially Private Domain Adaptation with Theoretical Guarantees R Bassily, C Cortes, A Mao, M Mohri
arXiv preprint arXiv:2306.08838, 2023
2023