Yunwen Lei

发表

Differentially Private SGDA for Minimax Problems

K. Varshney, Siwei Lyu, Zhenhuan Yang, 2022, ArXiv.

Theory for the Localized Setting of Learning Kernels

Yunwen Lei, Yunwen Lei, 2015 .

Stability and Generalization of Stochastic Gradient Methods for Minimax Problems

Tianbao Yang, Yunwen Lei, Yiming Ying, 2021, ICML.

Stability and Generalization of Stochastic Optimization with Nonconvex and Nonsmooth Problems

Yunwen Lei, 2022, ArXiv.

Convergence of online mirror descent

Ding-Xuan Zhou, Yunwen Lei, 2018, Applied and Computational Harmonic Analysis.

Differentially Private Stochastic Gradient Descent with Low-Noise

Ding-Xuan Zhou, Yiming Ying, Puyu Wang, 2022, 2209.04188.

Stability and Generalization for Markov Chain Stochastic Gradient Methods

Ding-Xuan Zhou, Yiming Ying, Puyu Wang, 2022, NeurIPS.

Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks

Yiming Ying, Yunwen Lei, Rong Jin, 2022, NeurIPS.

Improved Generalisation Bounds for Deep Learning Through L∞ Covering Numbers

Marius Kloft, Yunwen Lei, Antoine Ledent, 2019, ArXiv.

Fine-grained Generalization Analysis of Structured Output Prediction pdf

Marius Kloft, Yunwen Lei, Antoine Ledent, 2021, IJCAI.

On the Generalization Analysis of Adversarial Learning

M. Kloft, Yunwen Lei, Waleed Mustafa, 2022, ICML.

Noise-eﬃcient Learning of Diﬀerentially Private Partitioning Machine Ensembles

A. Kabán, Yunwen Lei, Zhanliang Huang, 2022 .

Differentially Private SGDA for Minimax Problems

K. Varshney, Siwei Lyu, Zhenhuan Yang, 2022, UAI.

Stability and Generalization of Stochastic Optimization with Nonconvex and Nonsmooth Problems

Yunwen Lei, 2022, ArXiv.

Generalization Bounds for Inductive Matrix Completion in Low-noise Settings

M. Kloft, Y. Guermeur, Yunwen Lei, 2022, ArXiv.

Stochastic Proximal AUC Maximization pdf

Yunwen Lei, Yiming Ying, Yiming Ying, 2019, J. Mach. Learn. Res..

Stochastic Hard Thresholding Algorithms for AUC Maximization pdf

Yunwen Lei, Baojian Zhou, Zhenhuan Yang, 2020, 2020 IEEE International Conference on Data Mining (ICDM).

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

Yunwen Lei, Yiming Ying, Yiming Ying, 2020, ICML.

A Generalization Error Bound for Multi-class Domain Generalization pdf

Yunwen Lei, Ürün Dogan, Clayton Scott, 2019, ArXiv.

Data-Dependent Generalization Bounds for Multi-Class Classification

Marius Kloft, Yunwen Lei, Ding-Xuan Zhou, 2017, IEEE Transactions on Information Theory.

Generalization Error Bounds for Extreme Multi-class Classification pdf

Marius Kloft, Yunwen Lei, Ürün Dogan, 2017, ArXiv.

University of Birmingham Generalization performance of multi-pass stochastic gradient descent with convex loss functions

Yunwen Lei, Yunwen Lei, 2021 .

Stochastic Composite Mirror Descent: Optimal Bounds with High Probabilities

Ke Tang, Yunwen Lei, K. Tang, 2018, NeurIPS.

Multi-class SVMs: From Tighter Data-Dependent Generalization Bounds to Novel Algorithms

Alexander Binder, Marius Kloft, Yunwen Lei, 2015, NIPS.

Norm-based generalisation bounds for multi-class convolutional neural networks

M. Kloft, Yunwen Lei, Antoine Ledent, 2019 .

Fine-grained Generalization Analysis of Inductive Matrix Completion

M. Kloft, Yunwen Lei, Rodrigo Alves, 2021, NeurIPS.

Stochastic Gradient Descent for Nonconvex Learning Without Bounded Gradient Assumptions

Ke Tang, Ting Hu, Yunwen Lei, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Generalization Bounds for Regularized Pairwise Learning

Ke Tang, Shao-Bo Lin, Yunwen Lei, 2018, IJCAI.

Differentially Private SGD with Non-Smooth Loss

Yiming Ying, Puyu Wang, Yunwen Lei, 2021, Applied and Computational Harmonic Analysis.

Norm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks

Marius Kloft, Yunwen Lei, Antoine Ledent, 2021, AAAI.

Learning Rates for Stochastic Gradient Descent With Nonconvex Objectives

Ke Tang, Yunwen Lei, K. Tang, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Generalization Performance of Radial Basis Function Networks

Wensheng Zhang, Lixin Ding, Yunwen Lei, 2015, IEEE Transactions on Neural Networks and Learning Systems.

On Stability and Generalization of Bilevel Optimization Problem

Di Wang, Yunwen Lei, Jinhui Xu, 2022, ArXiv.

Stability and Generalization for Randomized Coordinate Descent pdf

Puyu Wang, Yunwen Lei, Liang Wu, 2021, IJCAI.

Differentially private empirical risk minimization for AUC maximization

Yiming Ying, Puyu Wang, Zhenhuan Yang, 2021, Neurocomputing.

Generalization Guarantee of SGD for Pairwise Learning

Mingrui Liu, Yiming Ying, Yunwen Lei, 2021, NeurIPS.

Stability and Differential Privacy of Stochastic Gradient Descent for Pairwise Learning with Non-Smooth Loss

Siwei Lyu, Yunwen Lei, Yiming Ying, 2021, AISTATS.

Sharper Generalization Bounds for Pairwise Learning

Marius Kloft, Yunwen Lei, Antoine Ledent, 2020, NeurIPS.

Sharper Generalization Bounds for Learning with Gradient-dominated Objective Functions

Yunwen Lei, Yiming Ying, Yiming Ying, 2021, ICLR.

Approximation and estimation bounds for free knot splines

Lixin Ding, Yunwen Lei, L. Ding, 2013, Comput. Math. Appl..

Learning Theory of Randomized Sparse Kaczmarz Method

Yunwen Lei, Ding-Xuan Zhou, Ding-Xuan Zhou, 2018, SIAM J. Imaging Sci..

Improved Generalisation Bounds for Deep Learning Through L∞ Covering Numbers pdf

Marius Kloft, Yunwen Lei, Antoine Ledent, 2019, ArXiv.

Local Rademacher complexity bounds based on covering numbers pdf

Lixin Ding, Yunwen Lei, Yingzhou Bi, 2015, Neurocomputing.

Boosted Kernel Ridge Regression: Optimal Learning Rates and Early Stopping

Shao-Bo Lin, Yunwen Lei, Ding-Xuan Zhou, 2019, J. Mach. Learn. Res..

Localized Multiple Kernel Learning - A Convex Approach pdf

Alexander Binder, Marius Kloft, Yunwen Lei, 2015, ACML.

Online pairwise learning algorithms with convex loss functions

Bo Zhang, Yunwen Lei, Ding-Xuan Zhou, 2017, Inf. Sci..

Refined Rademacher Chaos Complexity Bounds with Applications to the Multikernel Learning Problem

Lixin Ding, Yunwen Lei, L. Ding, 2014, Neural Computation.

Refined bounds for online pairwise learning algorithms

Yunwen Lei, Xiaming Chen, Yunwen Lei, 2018, Neurocomputing.

Applied and Computational Harmonic Analysis

Yunwen Lei, Ding Zhou, 2019 .

Analysis of Online Composite Mirror Descent Algorithm

Yunwen Lei, Ding-Xuan Zhou, Ding-Xuan Zhou, 2017, Neural Computation.

Convergence of Unregularized Online Learning Algorithms

Lei Shi, Yunwen Lei, Zheng-Chu Guo, 2017, J. Mach. Learn. Res..

Optimal Stochastic and Online Learning with Individual Iterates

Ke Tang, Ding-Xuan Zhou, Yunwen Lei, 2019, NeurIPS.

Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning pdf

Tianbao Yang, Yiming Ying, Puyu Wang, 2021, NeurIPS.

Generalization Analysis for Contrastive Representation Learning

Ding-Xuan Zhou, Tianbao Yang, Yiming Ying, 2023, ICML.

Fine-grained Generalization Analysis of Vector-valued Learning pdf

Marius Kloft, Liang Wu, Yunwen Lei, 2021, AAAI.

Stability and Generalization of Stochastic Optimization with Nonconvex and Nonsmooth Problems

Yunwen Lei, 2022, COLT.

Theory and Algorithms for the Localized Setting of Learning Kernels

Alexander Binder, Marius Kloft, Yunwen Lei, 2015, FE@NIPS.

University of Birmingham Learning rates for stochastic gradient descent with nonconvex objectives

K. Tang, Yunwen Lei, 2021 .

Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning pdf

Mansooreh Mollaghasemi, Marius Kloft, Niloofar Yousefi, 2016, J. Mach. Learn. Res..

On Performance Estimation in Automatic Algorithm Configuration pdf

Xin Yao, Ke Tang, Yunwen Lei, 2019, AAAI.

Stability and Di ↵ erential Privacy of Stochastic Gradient Descent for Pairwise Learning with Non-Smooth Loss

Siwei Lyu, Zhenhuan Yang, Yunwen Lei, 2021 .