Attention-Based Pedestrian Attribute Analysis von Tan, Zichang, Yang, Yang, Wan, Jun, Hang, Hanyuan, Guo, Guodong, Li, Stan Z.

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LLP-GAN: A GAN-Based Algorithm for Learning From Label Proportions von Liu, Jiabin, Wang, Bo, Hang, Hanyuan, Wang, Huadong, Qi, Zhiquan, Tian, Yingjie, Shi, Yong

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Matrix Infinitely Divisible Series: Tail Inequalities and Their Applications von Zhang, Chao, Gao, Xianjie, Hsieh, Min-Hsiu, Hang, Hanyuan, Tao, Dacheng

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GAN-CL: Generative Adversarial Networks for Learning From Complementary Labels von Liu, Jiabin, Hang, Hanyuan, Wang, Bo, Li, Biao, Wang, Huadong, Tian, Yingjie, Shi, Yong

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Kernelized Elastic Net Regularization: Generalization Bounds, and Sparse Recovery von Feng, Yunlong, Lv, Shao-Gao, Hang, Hanyuan, Suykens, Johan A. K.

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A BERNSTEIN-TYPE INEQUALITY FOR SOME MIXING PROCESSES AND DYNAMICAL SYSTEMS WITH AN APPLICATION TO LEARNING von Hang, Hanyuan, Steinwart, Ingo

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Optimal learning with anisotropic Gaussian SVMs von Hang, Hanyuan, Steinwart, Ingo

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Self-Supervised Random Forest on Transformed Distribution for Anomaly Detection von Liu, Jiabin, Wang, Huadong, Hang, Hanyuan, Ma, Shumin, Shen, Xin, Shi, Yong

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Kernel Density Estimation for Dynamical Systems von Hang, Hanyuan, Steinwart, Ingo, Feng, Yunlong, Suykens, Johan A.K

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Matrix Infinitely Divisible Series: Tail Inequalities and Their Applications von Zhang, Chao, Gao, Xianjie, Hsieh, Min-Hsiu, Hanyuan Hang, Tao, Dacheng

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Learning theory estimates with observations from general stationary stochastic processes von Hang, Hanyuan, Feng, Yunlong, Steinwart, I, Suykens, Johan

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Kernelized Elastic Net Regularization: Generalization Bounds and Sparse Recovery von Feng, Yunlong, Lv, S, Hang, Hanyuan, Suykens, Johan

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Learning Theory Estimates with Observations from General Stationary Stochastic Processes von Hang, Hanyuan, Feng, Yunlong, Steinwart, Ingo, Suykens, Johan A. K.

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Bagged $k$-Distance for Mode-Based Clustering Using the Probability of Localized Level Sets von Hang, Hanyuan

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Local Adaptivity of Gradient Boosting in Histogram Transform Ensemble Learning von Hang, Hanyuan

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Transfer Learning under Covariate Shift: Local $k$-Nearest Neighbours Regression with Heavy-Tailed Design von Zamolodtchikov, Petr, Hang, Hanyuan

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Histogram Transform Ensembles for Density Estimation von Hang, Hanyuan

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Bagged \(k\)-Distance for Mode-Based Clustering Using the Probability of Localized Level Sets von Hanyuan Hang

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Local Adaptivity of Gradient Boosting in Histogram Transform Ensemble Learning von Hanyuan Hang

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Class Probability Matching Using Kernel Methods for Label Shift Adaptation von Wen, Hongwei, Betken, Annika, Hang, Hanyuan

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