Cross-entropy loss functions: Theoretical analysis and applications A Mao, M Mohri, Y Zhong
International Conference on Machine Learning, 23803-23828, 2023
79 * 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 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
International Symposium on Artificial Intelligence and Mathematics, 2023
10 2023 -Consistency Bounds: Characterization and ExtensionsA Mao, M Mohri, Y Zhong
Advances in Neural Information Processing Systems 36, 2024
9 2024 Learning to reject with a fixed predictor: Application to decontextualization C Mohri, D Andor, E Choi, M Collins, A Mao, Y Zhong
International Conference on Learning Representations, 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 Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms A Mao, M Mohri, Y Zhong
International Conference on Algorithmic Learning Theory, 2023
8 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, 2023
8 2023 -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 -Consistency Estimation Error of Surrogate Loss MinimizersP Awasthi, A Mao, M Mohri, Y Zhong
arXiv preprint arXiv:2205.08017, 2022
2022