| 2025 | AAAI | Generalization Analysis for Deep Contrastive Representation Learning. | Nong Minh Hieu, Antoine Ledent, Yunwen Lei, Cheng Yeaw Ku |
| 2025 | AAAI | Stability-based Generalization Analysis of Randomized Coordinate Descent for Pairwise Learning. | Liang Wu, Ruixi Hu, Yunwen Lei |
| 2025 | DSAA | Optimal Utility Bounds for Differentially Private Gradient Descent in Three-Layer Neural Networks. | Puyu Wang, Yunwen Lei, Marius Kloft, Yiming Ying |
| 2025 | ICLR | On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning. | Bokun Wang, Yunwen Lei, Yiming Ying, Tianbao Yang |
| 2025 | ICML | Stability and Generalization Analysis of Decentralized SGD: Sharper Bounds Beyond Lipschitzness and Smoothness. | Shuang Zeng, Yunwen Lei |
| 2025 | UAI | Learning to Sample in Stochastic Optimization. | Sijia Zhou, Yunwen Lei, Ata Kabn |
| 2024 | AAAI | Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems. | Jintao Song, Wenqi Lu, Yunwen Lei, Yuchao Tang, Zhenkuan Pan, Jinming Duan |
| 2023 | AAAI | Generalization Bounds for Inductive Matrix Completion in Low-Noise Settings. | Antoine Ledent, Rodrigo Alves, Yunwen Lei, Yann Guermeur, Marius Kloft |
| 2023 | COLT | Stability and Generalization of Stochastic Optimization with Nonconvex and Nonsmooth Problems. | Yunwen Lei |
| 2023 | ICLR | Sharper Bounds for Uniformly Stable Algorithms with Stationary Mixing Process. | Shi Fu, Yunwen Lei, Qiong Cao, Xinmei Tian, Dacheng Tao |
| 2023 | ICML | Generalization Analysis for Contrastive Representation Learning. | Yunwen Lei, Tianbao Yang, Yiming Ying, Ding-Xuan Zhou |
| 2022 | ICML | On the Generalization Analysis of Adversarial Learning. | Waleed Mustafa, Yunwen Lei, Marius Kloft |
| 2022 | UAI | Differentially private SGDA for minimax problems. | Zhenhuan Yang, Shu Hu, Yunwen Lei, Kush R. Varshney, Siwei Lyu, Yiming Ying |
| 2021 | AAAI | Norm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks. | Antoine Ledent, Waleed Mustafa, Yunwen Lei, Marius Kloft |
| 2021 | AAAI | Fine-grained Generalization Analysis of Vector-Valued Learning. | Liang Wu, Antoine Ledent, Yunwen Lei, Marius Kloft |
| 2021 | AISTATS | Stability and Differential Privacy of Stochastic Gradient Descent for Pairwise Learning with Non-Smooth Loss. | Zhenhuan Yang, Yunwen Lei, Siwei Lyu, Yiming Ying |
| 2021 | ICLR | Sharper Generalization Bounds for Learning with Gradient-dominated Objective Functions. | Yunwen Lei, Yiming Ying |
| 2021 | ICML | Stability and Generalization of Stochastic Gradient Methods for Minimax Problems. | Yunwen Lei, Zhenhuan Yang, Tianbao Yang, Yiming Ying |
| 2021 | IJCAI | Fine-grained Generalization Analysis of Structured Output Prediction. | Waleed Mustafa, Yunwen Lei, Antoine Ledent, Marius Kloft |
| 2021 | IJCAI | Learning Interpretable Concept Groups in CNNs. | Saurabh Varshneya, Antoine Ledent, Robert A. Vandermeulen, Yunwen Lei, Matthias Enders, Damian Borth, Marius Kloft |
| 2021 | IJCAI | Stability and Generalization for Randomized Coordinate Descent. | Puyu Wang, Liang Wu, Yunwen Lei |
| 2020 | AAAI | On Performance Estimation in Automatic Algorithm Configuration. | Shengcai Liu, Ke Tang, Yunwen Lei, Xin Yao |
| 2020 | ICDM | Stochastic Hard Thresholding Algorithms for AUC Maximization. | Zhenhuan Yang, Baojian Zhou, Yunwen Lei, Yiming Ying |
| 2020 | ICML | Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent. | Yunwen Lei, Yiming Ying |
| 2018 | CEC | An Enhanced Firefly Algorithm with Orthogonal Centroid Opposition-Based Learning. | Lingyun Zhou, Lixin Ding, Yunwen Lei |
| 2018 | IJCAI | Generalization Bounds for Regularized Pairwise Learning. | Yunwen Lei, Shao-Bo Lin, Ke Tang |
| 2016 | ACML | Localized Multiple Kernel Learning - A Convex Approach. | Yunwen Lei, Alexander Binder, rn Dogan, Marius Kloft |