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Memory-based Optimization Methods for Model-Agnostic Meta-Learning


Jun 09, 2021
Bokun Wang, Zhuoning Yuan, Yiming Ying, Tianbao Yang


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Sum of Ranked Range Loss for Supervised Learning


Jun 07, 2021
Shu Hu, Yiming Ying, Xin Wang, Siwei Lyu

* 40 pages. arXiv admin note: substantial text overlap with arXiv:2010.01741 

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Stability and Generalization of Stochastic Gradient Methods for Minimax Problems


May 08, 2021
Yunwen Lei, Zhenhuan Yang, Tianbao Yang, Yiming Ying

* To appear in ICML 2021 

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Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity


Feb 09, 2021
Zhuoning Yuan, Zhishuai Guo, Yi Xu, Yiming Ying, Tianbao Yang

* Zhuoning and Zhishuai contributed equally to this work 

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Differentially Private SGD with Non-Smooth Loss


Jan 22, 2021
Puyu Wang, Yunwen Lei, Yiming Ying, Hai Zhang

* 26 pages, 1 table 

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Stochastic Hard Thresholding Algorithms for AUC Maximization


Nov 04, 2020
Zhenhuan Yang, Baojian Zhou, Yunwen Lei, Yiming Ying


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Learning by Minimizing the Sum of Ranked Range


Oct 05, 2020
Shu Hu, Yiming Ying, Xin Wang, Siwei Lyu

* Accepted by Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020) 

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Online AUC Optimization for Sparse High-Dimensional Datasets


Sep 23, 2020
Baojian Zhou, Yiming Ying, Steven Skiena

* 20th IEEE International Conference on Data Mining 

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Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent


Jun 15, 2020
Yunwen Lei, Yiming Ying

* to appear in ICML 2020 

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Stochastic AUC Maximization with Deep Neural Networks


Aug 30, 2019
Mingrui Liu, Zhuoning Yuan, Yiming Ying, Tianbao Yang

* add some citations 

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Stochastic Proximal AUC Maximization


Jun 14, 2019
Yunwen Lei, Yiming Ying


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Dual Averaging Method for Online Graph-structured Sparsity


May 26, 2019
Baojian Zhou, Feng Chen, Yiming Ying

* The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '19), August 4--8, 2019 
* 11 pages, 14 figures 

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Stochastic Iterative Hard Thresholding for Graph-structured Sparsity Optimization


May 09, 2019
Baojian Zhou, Feng Chen, Yiming Ying

* Proceedings of the 36th International Conference on Machine Learning, 2019 
* published in ICML-2019 

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Stability and Optimization Error of Stochastic Gradient Descent for Pairwise Learning


Apr 26, 2019
Wei Shen, Zhenhuan Yang, Yiming Ying, Xiaoming Yuan

* 35 pages 

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Learning with Correntropy-induced Losses for Regression with Mixture of Symmetric Stable Noise


Jun 25, 2018
Yunlong Feng, Yiming Ying


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A Univariate Bound of Area Under ROC


May 25, 2018
Siwei Lyu, Yiming Ying

* UAI 2018 

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Learning with Average Top-k Loss


Dec 20, 2017
Yanbo Fan, Siwei Lyu, Yiming Ying, Bao-Gang Hu

* 18 pages 

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Unregularized Online Learning Algorithms with General Loss Functions


Apr 26, 2015
Yiming Ying, Ding-Xuan Zhou


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Online Pairwise Learning Algorithms with Kernels


Feb 25, 2015
Yiming Ying, Ding-Xuan Zhou


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Guaranteed Classification via Regularized Similarity Learning


Aug 29, 2013
Zheng-Chu Guo, Yiming Ying


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Generalization Bounds for Metric and Similarity Learning


Mar 17, 2013
Qiong Cao, Zheng-Chu Guo, Yiming Ying

* 20 pages 

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