Yutao Zhong

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All published works

Action	Title	Year	Authors
+ PDF Chat	Enhanced $H$-Consistency Bounds	2024	Anqi Mao Mehryar Mohri Yutao Zhong
+ PDF Chat	Multi-Label Learning with Stronger Consistency Guarantees	2024	Anqi Mao Mehryar Mohri Yutao Zhong
+ PDF Chat	Realizable $H$-Consistent and Bayes-Consistent Loss Functions for Learning to Defer	2024	Anqi Mao Mehryar Mohri Yutao Zhong
+ PDF Chat	Cardinality-Aware Set Prediction and Top-$k$ Classification	2024	Corinna Cortes Anqi Mao Christopher Mohri Mehryar Mohri Yutao Zhong
+ PDF Chat	A Universal Growth Rate for Learning with Smooth Surrogate Losses	2024	Anqi Mao Mehryar Mohri Yutao Zhong
+ PDF Chat	$H$-Consistency Guarantees for Regression	2024	Anqi Mao Mehryar Mohri Yutao Zhong
+ PDF Chat	Regression with Multi-Expert Deferral	2024	Anqi Mao Mehryar Mohri Yutao Zhong
+ PDF Chat	Top-$k$ Classification and Cardinality-Aware Prediction	2024	Anqi Mao Mehryar Mohri Yutao Zhong
+	Cross-Entropy Loss Functions: Theoretical Analysis and Applications	2023	Anqi Mao Mehryar Mohri Yutao Zhong
+	Ranking with Abstention	2023	Anqi Mao Mehryar Mohri Yutao Zhong
+	Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention	2023	Anqi Mao Mehryar Mohri Yutao Zhong
+	Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms	2023	Anqi Mao Mehryar Mohri Yutao Zhong
+	Principled Approaches for Learning to Defer with Multiple Experts	2023	Anqi Mao Mehryar Mohri Yutao Zhong
+	$\mathscr{H}$-Consistency Estimation Error of Surrogate Loss Minimizers	2022	Pranjal Awasthi Anqi Mao Mehryar Mohri Yutao Zhong
+ PDF Chat	A Finer Calibration Analysis for Adversarial Robustness	2021	Pranjal Awasthi Anqi Mao Mehryar Mohri Yutao Zhong
+	Calibration and Consistency of Adversarial Surrogate Losses	2021	Pranjal Awasthi Natalie Frank Anqi Mao Mehryar Mohri Yutao Zhong
+	A Finer Calibration Analysis for Adversarial Robustness	2021	Pranjal Awasthi Anqi Mao Mehryar Mohri Yutao Zhong

Common Coauthors

Coauthor	Papers Together
Mehryar Mohri	17
Anqi Mao	10
Anqi Mao	7
Pranjal Awasthi	4
Christopher Mohri	1
Corinna Cortes	1
Natalie Frank	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Sequence to Sequence Learning with Neural Networks	2014	Ilya Sutskever Oriol Vinyals Quoc V. Le	2
+ PDF Chat	Towards Evaluating the Robustness of Neural Networks	2017	Nicholas Carlini David Wagner	2
+	Convex Optimization	2004	Stephen Boyd Lieven Vandenberghe	2
+	Adversarial training for free	2019	Ali Shafahi Mahyar Najibi Mohammad Ghiasi Zheng Xu John P. Dickerson Christoph Studer Larry S. Davis Gavin Taylor Tom Goldstein	2
+	How to Compare Different Loss Functions and Their Risks	2007	Ingo Steinwart	2
+	Improved generalization bounds for robust learning	2018	Idan Attias Aryeh Kontorovich Yishay Mansour	1
+	Adversarial Risk Bounds for Binary Classification via Function Transformation.	2018	Justin Khim Po‐Ling Loh	1
+	Robustness May Be at Odds with Accuracy	2018	Dimitris Tsipras Shibani Santurkar Logan Engstrom Alexander Turner Aleksander Mądry	1
+	Adversarial Examples from Cryptographic Pseudo-Random Generators	2018	Sébastien Bubeck Yin Tat Lee Eric Price Ilya Razenshteyn	1
+	Adversarial Risk Bounds via Function Transformation	2018	Justin Khim Po‐Ling Loh	1
+	Theoretically Principled Trade-off between Robustness and Accuracy	2019	Hongyang Zhang Yaodong Yu Jiantao Jiao Eric P. Xing Laurent El Ghaoui Michael I. Jordan	1
+	VC Classes are Adversarially Robustly Learnable, but Only Improperly	2019	Omar Montasser Steve Hanneke Nathan Srebro	1
+	Unlabeled Data Improves Adversarial Robustness	2019	Yair Carmon Aditi Raghunathan Ludwig Schmidt Percy Liang John C. Duchi	1
+	Towards Deep Learning Models Resistant to Adversarial Attacks.	2018	Aleksander Mądry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu	1
+	On Robustness to Adversarial Examples and Polynomial Optimization	2019	Pranjal Awasthi Abhratanu Dutta Aravindan Vijayaraghavan	1
+	Fast is better than free: Revisiting adversarial training	2020	Eric Wong Leslie Rice J. Zico Kolter	1
+	The Complexity of Adversarially Robust Proper Learning of Halfspaces with Agnostic Noise	2020	Ilias Diakonikolas Daniel M. Kane Pasin Manurangsi	1
+	Reducing Adversarially Robust Learning to Non-Robust PAC Learning	2020	Omar Montasser Steve Hanneke Nathan Srebro	1
+	Bayes Consistency vs. H -Consistency: The Interplay between Surrogate Loss Functions and the Scoring Function Class.	2020	Mingyuan Zhang Shivani Agarwal	1
+ PDF Chat	On the Consistency of Multiclass Classification Methods	2005	Ambuj Tewari Peter L. Bartlett	1
+	Calibration and Consistency of Adversarial Surrogate Losses	2021	Pranjal Awasthi Natalie Frank Anqi Mao Mehryar Mohri Yutao Zhong	1
+ PDF Chat	Convexity, Classification, and Risk Bounds	2006	Peter L. Bartlett Michael I. Jordan Jon McAuliffe	1
+	Towards Deep Learning Models Resistant to Adversarial Attacks	2017	Aleksander Mądry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu	1
+	Adversarial examples from computational constraints	2018	Sébastien Bubeck Eric Price Ilya Razenshteyn	1
+	PAC-learning in the presence of evasion adversaries	2018	Daniel Cullina Arjun Nitin Bhagoji Prateek Mittal	1