Ting Hu

19 papers Journal 19
YearRankTypeTitle / Venue / Authors
2025 J jnl
Convergence of Adaptive Stochastic Mirror Descent.
IEEE Trans. Neural Networks Learn. Syst.
Ting Hu, Xiaotong Liu, Kai Ji, Yunwen Lei
2023 J jnl
Pairwise learning problems with regularization networks and Nyström subsampling approach.
Neural Networks
Cheng Wang, Ting Hu, Siyang Jiang
2022 J jnl
Early Stopping for Iterative Regularization with General Loss Functions.
J. Mach. Learn. Res.
Ting Hu, Yunwen Lei
2021 J jnl
Generalization Performance of Multi-pass Stochastic Gradient Descent with Convex Loss Functions.
J. Mach. Learn. Res.
Yunwen Lei, Ting Hu, Ke Tang
2021 J jnl
Kernel gradient descent algorithm for information theoretic learning.
J. Approx. Theory
Ting Hu, Qiang Wu, Ding-Xuan Zhou
2020 J jnl
Distributed Minimum Error Entropy Algorithms.
J. Mach. Learn. Res.
Xin Guo, Ting Hu, Qiang Wu
2020 J jnl
Stochastic Gradient Descent for Nonconvex Learning Without Bounded Gradient Assumptions.
IEEE Trans. Neural Networks Learn. Syst.
Yunwen Lei, Ting Hu, Guiying Li, Ke Tang
2019 J jnl
Deep Learning on Point Clouds and Its Application: A Survey.
Sensors
Weiping Liu, Jia Sun, Wanyi Li, Ting Hu, Peng Wang
2019 J jnl
Distributed pairwise algorithms with gradient descent methods.
Neurocomputing
Baobin Wang, Ting Hu
2019 J jnl
Online Gradient Descent for Kernel-Based Maximum Correntropy Criterion.
Entropy
Baobin Wang, Ting Hu
2019 J jnl
Stochastic Gradient Descent for Nonconvex Learning without Bounded Gradient Assumptions.
CoRR
Yunwen Lei, Ting Hu, Ke Tang
2018 J jnl
Semi-Supervised Minimum Error Entropy Principle with Distributed Method.
Entropy
Baobin Wang, Ting Hu
2016 J jnl
Convergence of Gradient Descent for Minimum Error Entropy Principle in Linear Regression.
IEEE Trans. Signal Process.
Ting Hu, Qiang Wu, Ding-Xuan Zhou
2014 J jnl
Consistency Analysis of an Empirical Minimum Error Entropy Algorithm.
CoRR
Jun Fan, Ting Hu, Qiang Wu, Ding-Xuan Zhou
2013 J jnl
Learning theory approach to minimum error entropy criterion.
J. Mach. Learn. Res.
Ting Hu, Jun Fan, Qiang Wu, Ding-Xuan Zhou
2012 J jnl
Approximation Analysis of Learning Algorithms for Support Vector Regression and Quantile Regression.
J. Appl. Math.
Dao-Hong Xiang, Ting Hu, Ding-Xuan Zhou
2012 J jnl
Learning Theory Approach to Minimum Error Entropy Criterion
CoRR
Ting Hu, Jun Fan, Qiang Wu, Ding-Xuan Zhou
2011 J jnl
Learning with varying insensitive loss.
Appl. Math. Lett.
Dao-Hong Xiang, Ting Hu, Ding-Xuan Zhou
2009 J jnl
Online Learning with Samples Drawn from Non-identical Distributions.
J. Mach. Learn. Res.
Ting Hu, Ding-Xuan Zhou