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	Title	Author(s)	Issue Date
	Fine-grained Generalisation Analysis of Inductive Matrix Completion Proceeding/Conference:Advances in Neural Information Processing Systems	Ledent, AntoineAlves, RodrigoLei, YunwenKloft, Marius	2021
	Generalization Guarantee of SGD for Pairwise Learning Proceeding/Conference:Advances in Neural Information Processing Systems	Lei, YunwenLiu, MingruiYing, Yiming	2021
	Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning Proceeding/Conference:Advances in Neural Information Processing Systems	Yang, ZhenhuanLei, YunwenWang, PuyuYang, TianbaoYing, Yiming	2021
	Fine-grained Generalization Analysis of Structured Output Prediction Proceeding/Conference:IJCAI International Joint Conference on Artificial Intelligence	Mustafa, WaleedLei, YunwenLedent, AntoineKloft, Marius	2021
	Learning Interpretable Concept Groups in CNNs Proceeding/Conference:IJCAI International Joint Conference on Artificial Intelligence	Varshneya, SaurabhLedent, AntoineVandermeulen, Robert A.Lei, YunwenEnders, MatthiasBorth, DamianKloft, Marius	2021
	Stability and Generalization for Randomized Coordinate Descent Proceeding/Conference:IJCAI International Joint Conference on Artificial Intelligence	Wang, PuyuWu, LiangLei, Yunwen	2021
	Norm-Based Generalisation Bounds for Deep Multi-Class Convolutional Neural Networks Proceeding/Conference:35th AAAI Conference on Artificial Intelligence, AAAI 2021	Ledent, AntoineMustafa, WaleedLei, YunwenKloft, Marius	2021
	Fine-grained Generalization Analysis of Vector-valued Learning Proceeding/Conference:35th AAAI Conference on Artificial Intelligence, AAAI 2021	Wu, LiangLedent, AntoineLei, YunwenKloft, Marius	2021
	Stability and Differential Privacy of Stochastic Gradient Descent for Pairwise Learning with Non-Smooth Loss Proceeding/Conference:Proceedings of Machine Learning Research	Yang, ZhenhuanLei, YunwenLyu, SiweiYing, Yiming	2021
	Fine-Grained analysis of stability and generalization for stochastic gradientdescent Proceeding/Conference:37th International Conference on Machine Learning, ICML 2020	Lei, YunwenYing, Yiming	2020
	Sharper generalization bounds for pairwise learning Proceeding/Conference:Advances in Neural Information Processing Systems	Lei, YunwenLedent, AntoineKloft, Marius	2020
	SHARPER GENERALIZATION BOUNDS FOR LEARNING WITH GRADIENT-DOMINATED OBJECTIVE FUNCTIONS Proceeding/Conference:ICLR 2021 - 9th International Conference on Learning Representations	Lei, YunwenYing, Yiming	2021
	Stochastic hard thresholding algorithms for AUC maximization Proceeding/Conference:Proceedings - IEEE International Conference on Data Mining, ICDM	Yang, ZhenhuanZhou, BaojianLei, YunwenYing, Yiming	2020
	On performance estimation in automatic algorithm configuration Proceeding/Conference:AAAI 2020 - 34th AAAI Conference on Artificial Intelligence	Liu, ShengcaiTang, KeLei, YunwenYao, Xin	2020
	Optimal stochastic and online learning with individual iterates Proceeding/Conference:Advances in Neural Information Processing Systems	Lei, YunwenYang, PengTang, KeZhou, Ding Xuan	2019
	Some results on affine Deligne-Lusztig varieties Proceeding/Conference:Proceedings of the International Congress of Mathematicians, ICM 2018	He, Xuhua	2018
	Stochastic composite mirror descent: Optimal bounds with high probabilities Proceeding/Conference:Advances in Neural Information Processing Systems	Lei, YunwenTang, Ke	2018
	Localized multiple kernel learning|A convex approach Proceeding/Conference:Journal of Machine Learning Research	Lei, YunwenBinder, AlexanderDogan, UrunKloft, Marius	2016
	An Enhanced Firefly Algorithm with Orthogonal Centroid Opposition-Based Learning Proceeding/Conference:2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings	Zhou, LingyunDing, LixinLei, Yunwen	2018
	Generalization bounds for regularized pairwise learning Proceeding/Conference:IJCAI International Joint Conference on Artificial Intelligence	Lei, YunwenLin, Shao BoTang, Ke	2018