Ting Hu

Orcid: 0000-0003-3770-6309

Affiliations:
  • Wuhan University, School of Mathematics and Statistics, China (PhD 2009)


According to our database1, Ting Hu authored at least 17 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
Pairwise learning problems with regularization networks and Nyström subsampling approach.
Neural Networks, 2023

2022
Early Stopping for Iterative Regularization with General Loss Functions.
J. Mach. Learn. Res., 2022

2021
Generalization Performance of Multi-pass Stochastic Gradient Descent with Convex Loss Functions.
J. Mach. Learn. Res., 2021

Kernel gradient descent algorithm for information theoretic learning.
J. Approx. Theory, 2021

2020
Stochastic Gradient Descent for Nonconvex Learning Without Bounded Gradient Assumptions.
IEEE Trans. Neural Networks Learn. Syst., 2020

Distributed Minimum Error Entropy Algorithms.
J. Mach. Learn. Res., 2020

2019
Deep Learning on Point Clouds and Its Application: A Survey.
Sensors, 2019

Distributed pairwise algorithms with gradient descent methods.
Neurocomputing, 2019

Online Gradient Descent for Kernel-Based Maximum Correntropy Criterion.
Entropy, 2019

Stochastic Gradient Descent for Nonconvex Learning without Bounded Gradient Assumptions.
CoRR, 2019

2018
Semi-Supervised Minimum Error Entropy Principle with Distributed Method.
Entropy, 2018

2016
Convergence of Gradient Descent for Minimum Error Entropy Principle in Linear Regression.
IEEE Trans. Signal Process., 2016

2014
Consistency Analysis of an Empirical Minimum Error Entropy Algorithm.
CoRR, 2014

2013
Learning theory approach to minimum error entropy criterion.
J. Mach. Learn. Res., 2013

2012
Approximation Analysis of Learning Algorithms for Support Vector Regression and Quantile Regression.
J. Appl. Math., 2012

2011
Learning with varying insensitive loss.
Appl. Math. Lett., 2011

2009
Online Learning with Samples Drawn from Non-identical Distributions.
J. Mach. Learn. Res., 2009


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