Multi‑Label Learning from Noisy Labels.
Mingyuan Zhang · Shivani Agarwal
Under review.

[5] Multiclass Learning from Noisy Labels for Non-decomposable Performance Measures.
Mingyuan Zhang · Shivani Agarwal
In Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS), 2024.
To appear.

On the Minimax Regret in Online Ranking with Top-k Feedback.
Mingyuan Zhang · Ambuj Tewari
Preprint.
[pdf][link]

[4] Foreseeing the Benefits of Incidental Supervision
Hangfeng He · Mingyuan Zhang · Qiang Ning · Dan Roth
In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.
Oral paper.
[pdf][link]

[3] Learning from Noisy Labels with No Change to the Training Process
Mingyuan Zhang · Jane Lee · Shivani Agarwal
In Proceedings of the 38th International Conference on Machine Learning (ICML), 2021.
[pdf][link]

[2] Bayes Consistency vs. H-Consistency: The Interplay between Surrogate Loss Functions and the Scoring Function Class
Mingyuan Zhang · Shivani Agarwal
In Advances in Neural Information Processing Systems (NeurIPS), 2020.
Spotlight paper.
[pdf][link]

[1] Convex Calibrated Surrogates for the Multi-Label F-Measure
Mingyuan Zhang · Harish G. Ramaswamy · Shivani Agarwal
In Proceedings of the 37th International Conference on Machine Learning (ICML), 2020.
[pdf][link]