Principled Approaches for Learning to Defer with Multiple Experts

Author:

Mao AnqiORCID,Mohri MehryarORCID,Zhong YutaoORCID

Publisher

Springer Nature Switzerland

Reference87 articles.

1. Acar, D.A.E., Gangrade, A., Saligrama, V.: Budget learning via bracketing. In: International Conference on Artificial Intelligence and Statistics, pp. 4109–4119 (2020)

2. Awasthi, P., Frank, N., Mao, A., Mohri, M., Zhong, Y.: Calibration and consistency of adversarial surrogate losses. Adv. Neural Inf. Process. Syst. 34, 9804–9815 (2021)

3. Awasthi, P., Mao, A., Mohri, M., Zhong, Y.: A finer calibration analysis for adversarial robustness. arXiv preprint arXiv:2105.01550 (2021)

4. Awasthi, P., Mao, A., Mohri, M., Zhong, Y.: $${\mathscr {H}}$$-consistency bounds for surrogate loss minimizers. In: International Conference on Machine Learning (2022)

5. Awasthi, P., Mao, A., Mohri, M., Zhong, Y.: Multi-class $${\mathscr {H}}$$-consistency bounds. Adv. Neural Inf. Process. Syst. 35, 782–795 (2022)

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