Yutao Zhong

According to our database, Yutao Zhong authored at least 24 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-Label Learning with Stronger Consistency Guarantees.

Anqi Mao, Mehryar Mohri, Yutao Zhong

CoRR, 2024

Realizable H-Consistent and Bayes-Consistent Loss Functions for Learning to Defer.

Anqi Mao, Mehryar Mohri, Yutao Zhong

CoRR, 2024

Enhanced H-Consistency Bounds.

Anqi Mao, Mehryar Mohri, Yutao Zhong

CoRR, 2024

Cardinality-Aware Set Prediction and Top-k Classification.

Corinna Cortes, Anqi Mao, Christopher Mohri, Mehryar Mohri, Yutao Zhong

CoRR, 2024

A Universal Growth Rate for Learning with Smooth Surrogate Losses.

Anqi Mao, Mehryar Mohri, Yutao Zhong

CoRR, 2024

Top-k Classification and Cardinality-Aware Prediction.

Anqi Mao, Mehryar Mohri, Yutao Zhong

CoRR, 2024

Principled Approaches for Learning to Defer with Multiple Experts.

Anqi Mao, Mehryar Mohri, Yutao Zhong

Proceedings of the Artificial Intelligence and Image Analysis, 2024

H-Consistency Guarantees for Regression.

Anqi Mao, Mehryar Mohri, Yutao Zhong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Regression with Multi-Expert Deferral.

Anqi Mao, Mehryar Mohri, Yutao Zhong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Learning to Reject with a Fixed Predictor: Application to Decontextualization.

Christopher Mohri, Daniel Andor, Eunsol Choi, Michael Collins, Anqi Mao, Yutao Zhong

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms.

Anqi Mao, Mehryar Mohri, Yutao Zhong

Proceedings of the International Conference on Algorithmic Learning Theory, 2024

Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention.

Anqi Mao, Mehryar Mohri, Yutao Zhong

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Ranking with Abstention.

Anqi Mao, Mehryar Mohri, Yutao Zhong

CoRR, 2023

Two-Stage Learning to Defer with Multiple Experts.

Anqi Mao, Christopher Mohri, Mehryar Mohri, Yutao Zhong

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Structured Prediction with Stronger Consistency Guarantees.

Anqi Mao, Mehryar Mohri, Yutao Zhong

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

H-Consistency Bounds: Characterization and Extensions.

Anqi Mao, Mehryar Mohri, Yutao Zhong

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Cross-Entropy Loss Functions: Theoretical Analysis and Applications.

Anqi Mao, Mehryar Mohri, Yutao Zhong

Proceedings of the International Conference on Machine Learning, 2023

H-Consistency Bounds for Pairwise Misranking Loss Surrogates.

Anqi Mao, Mehryar Mohri, Yutao Zhong

Proceedings of the International Conference on Machine Learning, 2023

Theoretically Grounded Loss Functions and Algorithms for Adversarial Robustness.

Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

H-Consistency Estimation Error of Surrogate Loss Minimizers.

Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong

CoRR, 2022

Multi-Class $H$-Consistency Bounds.

Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

H-Consistency Bounds for Surrogate Loss Minimizers.

Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong

Proceedings of the International Conference on Machine Learning, 2022

2021

A Finer Calibration Analysis for Adversarial Robustness.

Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong

CoRR, 2021

Calibration and Consistency of Adversarial Surrogate Losses.

Pranjal Awasthi, Natalie Frank, Anqi Mao, Mehryar Mohri, Yutao Zhong

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021