Yutao Zhong

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 29

Top Topics

Consistency Checking

Structured Prediction

Top Venues

Publications

Anqi Mao, Mehryar Mohri, Yutao Zhong
Top-k Classification and Cardinality-Aware Prediction. CoRR (2024)
Anqi Mao, Mehryar Mohri, Yutao Zhong
Regression with Multi-Expert Deferral. CoRR (2024)
Anqi Mao, Mehryar Mohri, Yutao Zhong
Realizable H-Consistent and Bayes-Consistent Loss Functions for Learning to Defer. CoRR (2024)
Anqi Mao, Mehryar Mohri, Yutao Zhong
Enhanced H-Consistency Bounds. CoRR (2024)
Anqi Mao, Mehryar Mohri, Yutao Zhong
Principled Approaches for Learning to Defer with Multiple Experts. ISAIM (2024)
Anqi Mao, Mehryar Mohri, Yutao Zhong
A Universal Growth Rate for Learning with Smooth Surrogate Losses. CoRR (2024)
Anqi Mao, Mehryar Mohri, Yutao Zhong
Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms. ALT (2024)
Anqi Mao, Mehryar Mohri, Yutao Zhong
Multi-Label Learning with Stronger Consistency Guarantees. CoRR (2024)
Anqi Mao, Mehryar Mohri, Yutao Zhong
H-Consistency Guarantees for Regression. CoRR (2024)
Corinna Cortes, Anqi Mao, Christopher Mohri, Mehryar Mohri, Yutao Zhong
Cardinality-Aware Set Prediction and Top-k Classification. CoRR (2024)
Anqi Mao, Mehryar Mohri, Yutao Zhong
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention. AISTATS (2024)
Christopher Mohri, Daniel Andor, Eunsol Choi, Michael Collins, Anqi Mao, Yutao Zhong
Learning to Reject with a Fixed Predictor: Application to Decontextualization. ICLR (2024)
Anqi Mao, Mehryar Mohri, Yutao Zhong
Principled Approaches for Learning to Defer with Multiple Experts. CoRR (2023)
Anqi Mao, Mehryar Mohri, Yutao Zhong
H-Consistency Bounds: Characterization and Extensions. NeurIPS (2023)
Anqi Mao, Mehryar Mohri, Yutao Zhong
Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms. CoRR (2023)
Anqi Mao, Mehryar Mohri, Yutao Zhong
H-Consistency Bounds for Pairwise Misranking Loss Surrogates. ICML (2023)
Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong
Theoretically Grounded Loss Functions and Algorithms for Adversarial Robustness. AISTATS (2023)
Anqi Mao, Mehryar Mohri, Yutao Zhong
Structured Prediction with Stronger Consistency Guarantees. NeurIPS (2023)
Anqi Mao, Mehryar Mohri, Yutao Zhong
Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention. CoRR (2023)
Anqi Mao, Mehryar Mohri, Yutao Zhong
Ranking with Abstention. CoRR (2023)
Anqi Mao, Mehryar Mohri, Yutao Zhong
Cross-Entropy Loss Functions: Theoretical Analysis and Applications. CoRR (2023)
Anqi Mao, Christopher Mohri, Mehryar Mohri, Yutao Zhong
Two-Stage Learning to Defer with Multiple Experts. NeurIPS (2023)
Anqi Mao, Mehryar Mohri, Yutao Zhong
Cross-Entropy Loss Functions: Theoretical Analysis and Applications. ICML (2023)
Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong
H-Consistency Bounds for Surrogate Loss Minimizers. ICML (2022)
Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong
H-Consistency Estimation Error of Surrogate Loss Minimizers. CoRR (2022)
Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong
Multi-Class $H$-Consistency Bounds. NeurIPS (2022)
Pranjal Awasthi, Natalie Frank, Anqi Mao, Mehryar Mohri, Yutao Zhong
Calibration and Consistency of Adversarial Surrogate Losses. CoRR (2021)
Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong
A Finer Calibration Analysis for Adversarial Robustness. CoRR (2021)
Pranjal Awasthi, Natalie Frank, Anqi Mao, Mehryar Mohri, Yutao Zhong
Calibration and Consistency of Adversarial Surrogate Losses. NeurIPS (2021)