Bayes consistency vs. H-consistency: The interplay between surrogate loss functions and the scoring function class M Zhang, S Agarwal Advances in neural information processing systems 33, 16927-16936, 2020 | 34 | 2020 |
Learning from noisy labels with no change to the training process M Zhang, J Lee, S Agarwal International conference on machine learning, 12468-12478, 2021 | 30 | 2021 |
Convex Calibrated Surrogates for the Multi-Label F-Measure M Zhang, HG Ramaswamy, S Agarwal ICML 2020, 2020 | 18 | 2020 |
Foreseeing the Benefits of Incidental Supervision H He, M Zhang, Q Ning, D Roth Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 13* | 2021 |
Multiclass Learning from Noisy Labels for Non-decomposable Performance Measures M Zhang, S Agarwal arXiv preprint arXiv:2402.01055, 2024 | | 2024 |
On the Minimax Regret in Online Ranking with Top-k Feedback M Zhang, A Tewari arXiv preprint arXiv:2309.02425, 2023 | | 2023 |
Ordinal Embedding with a Latent Factor Model M Zhang, N Farouk, L Balzano | | 2016 |