ML Anthology

Zhong, Yutao

24 publications

ICML 2025 Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data Corinna Cortes, Anqi Mao, Mehryar Mohri, Yutao Zhong
ALT 2025 Enhanced $h$-Consistency Bounds Anqi Mao, Mehryar Mohri, Yutao Zhong
NeurIPS 2025 Improved Balanced Classification with Theoretically Grounded Loss Functions Corinna Cortes, Mehryar Mohri, Yutao Zhong
ICML 2025 Mastering Multiple-Expert Routing: Realizable $h$-Consistency and Strong Guarantees for Learning to Defer Anqi Mao, Mehryar Mohri, Yutao Zhong
ICML 2025 Principled Algorithms for Optimizing Generalized Metrics in Binary Classification Anqi Mao, Mehryar Mohri, Yutao Zhong
ICML 2024 $h$-Consistency Guarantees for Regression Anqi Mao, Mehryar Mohri, Yutao Zhong
NeurIPS 2024 A Universal Growth Rate for Learning with Smooth Surrogate Losses Anqi Mao, Mehryar Mohri, Yutao Zhong
NeurIPS 2024 Cardinality-Aware Set Prediction and Top-$k$ Classification Corinna Cortes, Anqi Mao, Christopher Mohri, Mehryar Mohri, Yutao Zhong
ICLR 2024 Learning to Reject with a Fixed Predictor: Application to Decontextualization Christopher Mohri, Daniel Andor, Eunsol Choi, Michael Collins, Anqi Mao, Yutao Zhong
NeurIPS 2024 Multi-Label Learning with Stronger Consistency Guarantees Anqi Mao, Mehryar Mohri, Yutao Zhong
ALT 2024 Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms Anqi Mao, Mehryar Mohri, Yutao Zhong
NeurIPS 2024 Realizable $h$-Consistent and Bayes-Consistent Loss Functions for Learning to Defer Anqi Mao, Mehryar Mohri, Yutao Zhong
ICML 2024 Regression with Multi-Expert Deferral Anqi Mao, Mehryar Mohri, Yutao Zhong
AISTATS 2024 Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention Anqi Mao, Mehryar Mohri, Yutao Zhong
ICML 2023 $h$-Consistency Bounds for Pairwise Misranking Loss Surrogates Anqi Mao, Mehryar Mohri, Yutao Zhong
NeurIPS 2023 $h$-Consistency Bounds: Characterization and Extensions Anqi Mao, Mehryar Mohri, Yutao Zhong
ICML 2023 Cross-Entropy Loss Functions: Theoretical Analysis and Applications Anqi Mao, Mehryar Mohri, Yutao Zhong
ICMLW 2023 Ranking with Abstention Anqi Mao, Mehryar Mohri, Yutao Zhong
NeurIPS 2023 Structured Prediction with Stronger Consistency Guarantees Anqi Mao, Mehryar Mohri, Yutao Zhong
AISTATS 2023 Theoretically Grounded Loss Functions and Algorithms for Adversarial Robustness Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong
NeurIPS 2023 Two-Stage Learning to Defer with Multiple Experts Anqi Mao, Christopher Mohri, Mehryar Mohri, Yutao Zhong
ICML 2022 H-Consistency Bounds for Surrogate Loss Minimizers Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong
NeurIPS 2022 Multi-Class $h$-Consistency Bounds Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong
NeurIPS 2021 Calibration and Consistency of Adversarial Surrogate Losses Pranjal Awasthi, Natalie Frank, Anqi Mao, Mehryar Mohri, Yutao Zhong