Yunwen Lei

Most-cited papers

Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent
Yunwen Lei, Yiming Ying
2020International Conference on Machine Learning187 citations
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Stochastic Gradient Descent for Nonconvex Learning Without Bounded Gradient Assumptions
Yunwen Lei, Ting Hu, Guiying Li, Ke Tang
2019IEEE Transactions on Neural Networks and Learning Systems147 citations Open access
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Data-Dependent Generalization Bounds for Multi-Class Classification
Yunwen Lei, Ü. Dogan, Ding-Xuan Zhou, M. Kloft
2017IEEE Transactions on Information Theory75 citations Open access
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Stability and Generalization of Stochastic Gradient Methods for Minimax Problems
Yunwen Lei, Zhenhuan Yang, Tian-Bao Yang, Yiming Ying
2021International Conference on Machine Learning62 citations
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Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms
Yunwen Lei, Ü. Dogan, Alexander Binder, M. Kloft
2015Neural Information Processing Systems59 citations
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Sharper Generalization Bounds for Learning with Gradient-dominated Objective Functions
Yunwen Lei, Yiming Ying
2021International Conference on Learning Representations54 citations
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Sharper Generalization Bounds for Pairwise Learning
Yunwen Lei, Antoine Ledent, M. Kloft
2020Neural Information Processing Systems53 citations
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A Generalization Error Bound for Multi-class Domain Generalization
A. Deshmukh, Yunwen Lei, Srinagesh Sharma, Ü. Dogan +2 more
2019arXiv.org42 citations
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Differentially Private SGD with Non-Smooth Loss
Pu-Yu Wang, Yunwen Lei, Yiming Ying, Hai Zhang
2021Applied and Computational Harmonic Analysis41 citations Open access
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Learning Rates for Stochastic Gradient Descent With Nonconvex Objectives
Yunwen Lei, Ke Tang
2021IEEE Transactions on Pattern Analysis and Machine Intelligence41 citations Open access
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Generalization Guarantee of SGD for Pairwise Learning
Yunwen Lei, Mingrui Liu, Yiming Ying
2021Neural Information Processing Systems40 citations
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Stability and Generalization of Stochastic Optimization with Nonconvex and Nonsmooth Problems
Yunwen Lei
2022Annual Conference Computational Learning Theory39 citations Open access
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Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning
Niloofar Yousefi, Yunwen Lei, M. Kloft, M. Mollaghasemi +1 more
2016Journal of machine learning research36 citations
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Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning
Zhenhuan Yang, Yunwen Lei, Pu-Yu Wang, Tian-Bao Yang +1 more
2021Neural Information Processing Systems34 citations
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Stochastic Proximal AUC Maximization
Yunwen Lei, Yiming Ying
2019Journal of machine learning research33 citations
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Generalization Analysis for Contrastive Representation Learning
Yunwen Lei, Tian-Bao Yang, Yiming Ying, Ding-Xuan Zhou
2023International Conference on Machine Learning32 citations Open access
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Generalization Performance of Radial Basis Function Networks
Yunwen Lei, Lixin X. Ding, Wen-Sheng Zhang
2015IEEE Transactions on Neural Networks and Learning Systems32 citations
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Stochastic Composite Mirror Descent: Optimal Bounds with High Probabilities
Yunwen Lei, Ke Tang
2018Neural Information Processing Systems31 citations
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Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks
Yunwen Lei, Rong Jin, Yiming Ying
2022Neural Information Processing Systems30 citations Open access
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Boosted Kernel Ridge Regression: Optimal Learning Rates and Early Stopping
Shao-Bo Lin, Yunwen Lei, Ding-Xuan Zhou
2019Journal of machine learning research28 citations
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Differentially Private SGDA for Minimax Problems
Zhenhuan Yang, Shu Hu, Yunwen Lei, Kush R. Varshney +2 more
2022Conference on Uncertainty in Artificial Intelligence27 citations
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Stability and Generalization for Markov Chain Stochastic Gradient Methods
Pu-Yu Wang, Yunwen Lei, Yiming Ying, Ding-Xuan Zhou
2022Neural Information Processing Systems27 citations Open access
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On Performance Estimation in Automatic Algorithm Configuration
Shengcai Liu, Ke Tang, Yunwen Lei, Xin Yao
2019AAAI Conference on Artificial Intelligence27 citations Open access
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Convergence of online mirror descent
Yunwen Lei, Ding-Xuan Zhou
2018Applied and Computational Harmonic Analysis27 citations Open access
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Local Rademacher complexity bounds based on covering numbers
Yunwen Lei, Lixin X. Ding, Yingzhou Bi
2015Neurocomputing27 citations Open access
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Norm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks
Antoine Ledent, Waleed Mustafa, Yunwen Lei, M. Kloft
2021AAAI Conference on Artificial Intelligence25 citations Open access
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Generalization Performance of Multi-pass Stochastic Gradient Descent with Convex Loss Functions
Yunwen Lei, Ting Hu, K. Tang
2021Journal of machine learning research24 citations
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On the Generalization Analysis of Adversarial Learning
Waleed Mustafa, Yunwen Lei, M. Kloft
2022International Conference on Machine Learning23 citations
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Online pairwise learning algorithms with convex loss functions
Junhong Lin, Yunwen Lei, Bo Zhang, Ding-Xuan Zhou
2017Information Sciences22 citations
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Stability and Di ↵ erential Privacy of Stochastic Gradient Descent for Pairwise Learning with Non-Smooth Loss
Zhenhuan Yang, Yunwen Lei, Siwei Lyu, Yi-Ming Ying
202118 citations
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Convergence of Unregularized Online Learning Algorithms
Yunwen Lei, Lei Shi, Zheng-Chu Guo
2017Journal of machine learning research18 citations
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Differentially private empirical risk minimization for AUC maximization
Pu-Yu Wang, Zhenhuan Yang, Yunwen Lei, Yi-Ming Ying +1 more
2021Neurocomputing17 citations
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Fine-grained Generalization Analysis of Inductive Matrix Completion
Antoine Ledent, Rodrigo Alves, Yunwen Lei, M. Kloft
2021Neural Information Processing Systems15 citations
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Early Stopping for Iterative Regularization with General Loss Functions
Ting Hu, Yunwen Lei
2022Journal of machine learning research14 citations
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Localized Multiple Kernel Learning - A Convex Approach
Yunwen Lei, Alexander Binder, Ü. Dogan, M. Kloft
2015Asian Conference on Machine Learning14 citations
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Few-Shot Learning With Dynamic Graph Structure Preserving
Si-Chao Fu, Qiong Cao, Yunwen Lei, Yu-Jie Zhong +2 more
2024IEEE Transactions on Industrial Informatics13 citations
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Refined Rademacher Chaos Complexity Bounds with Applications to the Multikernel Learning Problem
Yunwen Lei, Lixin X. Ding
2014Neural Computation13 citations
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High-probability generalization bounds for pointwise uniformly stable algorithms
Jun Fan, Yunwen Lei
2024Applied and Computational Harmonic Analysis12 citations Open access
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Fine-grained Generalization Analysis of Vector-valued Learning
Liang Wu, Antoine Ledent, Yunwen Lei, M. Kloft
2021AAAI Conference on Artificial Intelligence12 citations Open access
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Generalization Bounds for Regularized Pairwise Learning
Yunwen Lei, Shao-Bo Lin, Ke Tang
2018International Joint Conference on Artificial Intelligence12 citations Open access
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Refined bounds for online pairwise learning algorithms
Xiaming Chen, Yunwen Lei
2018Neurocomputing12 citations
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Generalization Guarantees of Gradient Descent for Shallow Neural Networks
Pu-Yu Wang, Yunwen Lei, Di Wang, Yiming Ying +1 more
2023Neural Computation11 citations
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Fine-grained Generalization Analysis of Structured Output Prediction
Waleed Mustafa, Yunwen Lei, Antoine Ledent, M. Kloft
2021International Joint Conference on Artificial Intelligence11 citations Open access
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Learning Theory of Randomized Sparse Kaczmarz Method
Yunwen Lei, Ding-Xuan Zhou
2018SIAM Journal of Imaging Sciences11 citations Open access
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Theory and Algorithms for the Localized Setting of Learning Kernels
Yunwen Lei, Alexander Binder, Ü. Dogan, M. Kloft
2015FE@NIPS11 citations
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Analysis of Online Composite Mirror Descent Algorithm
Yunwen Lei, Ding-Xuan Zhou
2017Neural Computation10 citations
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Stochastic Gradient Methods: Bias, Stability and Generalization
Shu Zeng, Yunwen Lei
2026Journal of machine learning research9 citations
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Differentially Private Stochastic Gradient Descent with Low-Noise
Pu-Yu Wang, Yunwen Lei, Yiming Ying, Ding-Xuan Zhou
2022Neurocomputing9 citations Open access
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University of Birmingham Generalization performance of multi-pass stochastic gradient descent with convex loss functions
Yunwen Lei
20219 citations
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Stability and Generalization for Randomized Coordinate Descent
Pu-Yu Wang, Liang Wu, Yunwen Lei
2021International Joint Conference on Artificial Intelligence8 citations Open access
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