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	Title	Author(s)	Issue Date
	Toward Better PAC-Bayes Bounds for Uniformly Stable Algorithms Proceeding/Conference:Advances in Neural Information Processing Systems (10/12/2023-16/12/2023, New Orleans)	Zhou, SijiaLei, YunwenKaban, Ata	10-Dec-2023
	The Construction of Sparse Probabilistic Boolean Networks: A Discrete Perspective Proceeding/Conference:2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (05/12/2023-08/12/2023, Istanbul)	Fok, Christopher HChing, Wai KiWong, Chi Wing	5-Dec-2023
	Time-Dependent Surveillance-Evasion Games Proceeding/Conference:Proceedings of the IEEE Conference on Decision and Control	Cartee, ElliotLai, LexiaoSong, QianliVladimirsky, Alexander	2019
	On Reinforcement Learning in Stabilizability of Probabilistic Boolean Control Networks Proceeding/Conference:2023 International Conference on Machine Learning and Cybernetics (ICMLC) (09/07/2023-11/07/2023, , , Adelaide)	Lin, LinLam, JamesShi, PengNg, Michael KLam, Hak-Keung	28-Nov-2023
	Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks Proceeding/Conference:Advances in Neural Information Processing Systems (28/11/2022-09/12/2022, New Orleans)	Lei, YJin, RYing, Y	28-Nov-2022
	On the generalization analysis of adversarial learning Proceeding/Conference:International Conference on Machine Learning (17/07/2022-23/07/2022, Baltimore)	Mustafa, WLei, YKloft, M	12-Jul-2022
	Differentially Private SGDA for Minimax Problems Proceeding/Conference:Uncertainty in Artificial Intelligence (02/08/2022-04/08/2022, Eindhoven)	Yang, ZHu, SLei, YVarshney, RLyu, SYing, Y	2-Aug-2022
	Tropical leaf phenology characterization by using an ecologically-constrained deep learning model with PlanetScope satellites Proceeding/Conference:EGU 2023 (23/04/2023-28/04/2023, Vienna)	Song, GuangqinWang, JingLiddell, MichaelMorellato, PatriciaLee, Ka Fai CalvinYang, DediAlberton, BrunaDetto, MatteoMa, XuanlongZhao, YingyiYeung, HenryZhang, HongshengNg, Kwok PoNelson, BruceHuete, AlfredoWu, Jin	24-Apr-2023
	Generalization Analysis for Contrastive Representation Learning Proceeding/Conference:International Conference on Machine Learning (23/07/2023-29/07/2023, Honolulu, Hawaii)	Lei, YunwenYang, TianbaoYing, YimingZhou, Ding-Xuan	23-Jul-2023
	Stability and Generalization of Stochastic Optimization with Nonconvex and Nonsmooth Problems Proceeding/Conference:36th Annual Conference on Learning Theory (COLT 2023) (12/07/2023-15/07/2023, Bangalore, India)	Lei, Yunwen	12-Jul-2023
	Variation of global compound heatwaves and their associations with climate variability Proceeding/Conference:EGU 2023 (23/04/2023-28/04/2023, Vienna)	Zhang, KunLi, JinbaoNg, Kwok PoTai, AmosWu, Jin	24-Apr-2023
	Noise-Efficient Learning of Differentially Private Partitioning Machine Ensembles Proceeding/Conference:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	Huang, ZhanliangLei, YunwenKabán, Ata	2023
	On the Generalization Analysis of Adversarial Learning Proceeding/Conference:Proceedings of Machine Learning Research	Mustafa, WaleedLei, YunwenKloft, Marius	2022
	Differentially Private SGDA for Minimax Problems Proceeding/Conference:Proceedings of Machine Learning Research	Yang, ZhenhuanHu, ShuLei, YunwenVarshney, Kush R.Lyu, SiweiYing, Yiming	2022
	Stability and Generalization of Stochastic Gradient Methods for Minimax Problems Proceeding/Conference:Proceedings of Machine Learning Research	Lei, YunwenYang, ZhenhuanYang, TianbaoYing, Yiming	2021
	A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks Proceeding/Conference:Advances in Neural Information Processing Systems	Liu, MingruiZhuang, ZhenxunLei, YunwenLiao, Chunyang	2022
	Multi-class SVMs: From tighter data-dependent generalization bounds to novel algorithms Proceeding/Conference:Advances in Neural Information Processing Systems	Lei, YunwenDogan, ÜrünBinder, AlexanderKloft, Marius	2015
	Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks Proceeding/Conference:Advances in Neural Information Processing Systems	Lei, YunwenJin, RongYing, Yiming	2022
	Stability and Generalization for Markov Chain Stochastic Gradient Methods Proceeding/Conference:Advances in Neural Information Processing Systems	Wang, PuyuLei, YunwenYing, YimingZhou, Ding Xuan	2022
	Differentially Private SGDA for Minimax Problems Proceeding/Conference:Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, UAI 2022	Yang, ZhenhuanHu, ShuLei, YunwenVarshney, Kush R.Lyu, SiweiYing, Yiming	2022