Anqi Mao - RankMe

48 papers A* 19A 2B 2Misc 1Journal 24

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data. ICML Corinna Cortes, Anqi Mao, Mehryar Mohri, Yutao Zhong
2025	J	`jnl`	Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data. CoRR Corinna Cortes, Anqi Mao, Mehryar Mohri, Yutao Zhong
2025	B	`conf`	Enhanced H-Consistency Bounds. ALT Anqi Mao, Mehryar Mohri, Yutao Zhong
2025	J	`jnl`	Mastering Multiple-Expert Routing: Realizable CoRR Anqi Mao, Mehryar Mohri, Yutao Zhong
2025	A*	`conf`	Mastering Multiple-Expert Routing: Realizable H-Consistency and Strong Guarantees for Learning to Defer. ICML Anqi Mao, Mehryar Mohri, Yutao Zhong
2025	A*	`conf`	Principled Algorithms for Optimizing Generalized Metrics in Binary Classification. ICML Anqi Mao, Mehryar Mohri, Yutao Zhong
2025	J	`jnl`	Principled Algorithms for Optimizing Generalized Metrics in Binary Classification. CoRR Anqi Mao, Mehryar Mohri, Yutao Zhong
2025	J	`jnl`	Theory and Algorithms for Learning with Multi-Class Abstention and Multi-Expert Deferral. CoRR Anqi Mao
2024	A*	`conf`	A Universal Growth Rate for Learning with Smooth Surrogate Losses. NeurIPS Anqi Mao, Mehryar Mohri, Yutao Zhong
2024	J	`jnl`	A Universal Growth Rate for Learning with Smooth Surrogate Losses. CoRR Anqi Mao, Mehryar Mohri, Yutao Zhong
2024	A*	`conf`	Cardinality-Aware Set Prediction and Top-$k$ Classification. NeurIPS Corinna Cortes, Anqi Mao, Christopher Mohri, Mehryar Mohri, Yutao Zhong
2024	J	`jnl`	Cardinality-Aware Set Prediction and Top-k Classification. CoRR Corinna Cortes, Anqi Mao, Christopher Mohri, Mehryar Mohri, Yutao Zhong
2024	A*	`conf`	Differentially Private Domain Adaptation with Theoretical Guarantees. ICML Raef Bassily, Corinna Cortes, Anqi Mao, Mehryar Mohri
2024	J	`jnl`	Enhanced H-Consistency Bounds. CoRR Anqi Mao, Mehryar Mohri, Yutao Zhong
2024	A*	`conf`	H-Consistency Guarantees for Regression. ICML Anqi Mao, Mehryar Mohri, Yutao Zhong
2024	J	`jnl`	H-Consistency Guarantees for Regression. CoRR Anqi Mao, Mehryar Mohri, Yutao Zhong
2024	A*	`conf`	Learning to Reject with a Fixed Predictor: Application to Decontextualization. ICLR Christopher Mohri, Daniel Andor, Eunsol Choi, Michael Collins, Anqi Mao, Yutao Zhong
2024	A*	`conf`	Multi-Label Learning with Stronger Consistency Guarantees. NeurIPS Anqi Mao, Mehryar Mohri, Yutao Zhong
2024	J	`jnl`	Multi-Label Learning with Stronger Consistency Guarantees. CoRR Anqi Mao, Mehryar Mohri, Yutao Zhong
2024	B	`conf`	Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms. ALT Anqi Mao, Mehryar Mohri, Yutao Zhong
2024	Misc	`conf`	Principled Approaches for Learning to Defer with Multiple Experts. ISAIM Anqi Mao, Mehryar Mohri, Yutao Zhong
2024	A*	`conf`	Realizable H-Consistent and Bayes-Consistent Loss Functions for Learning to Defer. NeurIPS Anqi Mao, Mehryar Mohri, Yutao Zhong
2024	J	`jnl`	Realizable H-Consistent and Bayes-Consistent Loss Functions for Learning to Defer. CoRR Anqi Mao, Mehryar Mohri, Yutao Zhong
2024	A*	`conf`	Regression with Multi-Expert Deferral. ICML Anqi Mao, Mehryar Mohri, Yutao Zhong
2024	J	`jnl`	Regression with Multi-Expert Deferral. CoRR Anqi Mao, Mehryar Mohri, Yutao Zhong
2024	A	`conf`	Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention. AISTATS Anqi Mao, Mehryar Mohri, Yutao Zhong
2024	J	`jnl`	Top-k Classification and Cardinality-Aware Prediction. CoRR Anqi Mao, Mehryar Mohri, Yutao Zhong
2023	A*	`conf`	Cross-Entropy Loss Functions: Theoretical Analysis and Applications. ICML Anqi Mao, Mehryar Mohri, Yutao Zhong
2023	J	`jnl`	Cross-Entropy Loss Functions: Theoretical Analysis and Applications. CoRR Anqi Mao, Mehryar Mohri, Yutao Zhong
2023	J	`jnl`	Differentially Private Domain Adaptation with Theoretical Guarantees. CoRR Raef Bassily, Corinna Cortes, Anqi Mao, Mehryar Mohri
2023	A*	`conf`	H-Consistency Bounds for Pairwise Misranking Loss Surrogates. ICML Anqi Mao, Mehryar Mohri, Yutao Zhong
2023	A*	`conf`	H-Consistency Bounds: Characterization and Extensions. NeurIPS Anqi Mao, Mehryar Mohri, Yutao Zhong
2023	J	`jnl`	Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms. CoRR Anqi Mao, Mehryar Mohri, Yutao Zhong
2023	J	`jnl`	Principled Approaches for Learning to Defer with Multiple Experts. CoRR Anqi Mao, Mehryar Mohri, Yutao Zhong
2023	J	`jnl`	Ranking with Abstention. CoRR Anqi Mao, Mehryar Mohri, Yutao Zhong
2023	A*	`conf`	Structured Prediction with Stronger Consistency Guarantees. NeurIPS Anqi Mao, Mehryar Mohri, Yutao Zhong
2023	A	`conf`	Theoretically Grounded Loss Functions and Algorithms for Adversarial Robustness. AISTATS Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong
2023	J	`jnl`	Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention. CoRR Anqi Mao, Mehryar Mohri, Yutao Zhong
2023	A*	`conf`	Two-Stage Learning to Defer with Multiple Experts. NeurIPS Anqi Mao, Christopher Mohri, Mehryar Mohri, Yutao Zhong
2022	A*	`conf`	H-Consistency Bounds for Surrogate Loss Minimizers. ICML Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong
2022	J	`jnl`	H-Consistency Estimation Error of Surrogate Loss Minimizers. CoRR Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong
2022	A*	`conf`	Multi-Class $H$-Consistency Bounds. NeurIPS Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong
2021	J	`jnl`	A Finer Calibration Analysis for Adversarial Robustness. CoRR Pranjal Awasthi, Anqi Mao, Mehryar Mohri, Yutao Zhong
2021	A*	`conf`	Calibration and Consistency of Adversarial Surrogate Losses. NeurIPS Pranjal Awasthi, Natalie Frank, Anqi Mao, Mehryar Mohri, Yutao Zhong
2021	J	`jnl`	Calibration and Consistency of Adversarial Surrogate Losses. CoRR Pranjal Awasthi, Natalie Frank, Anqi Mao, Mehryar Mohri, Yutao Zhong
2020	J	`jnl`	Variational training of neural network approximations of solution maps for physical models. J. Comput. Phys. Yingzhou Li, Jianfeng Lu, Anqi Mao
2019	J	`jnl`	Variational training of neural network approximations of solution maps for physical models. CoRR Yingzhou Li, Jianfeng Lu, Anqi Mao
2018	J	`jnl`	Improved Reversible Data hiding based on Encrypted Signals with Public Key Cryptosystem. J. Inf. Hiding Multim. Signal Process. Ruiping Li, Jing Zhang, Anqi Mao, Ming Li