Convergence of Gradient Descent for Minimum Error Entropy Principle in Linear Regression

DOI10.1109/TSP.2016.2612169zbMath1414.94263OpenAlexW2522471716MaRDI QIDQ4619681

Qiang Wu, Ding-Xuan Zhou, Ting Hu

Publication date: 7 February 2019

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tsp.2016.2612169

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (8)

Learning theory of minimum error entropy under weak moment conditions ⋮ Unnamed Item ⋮ Fast rates of minimum error entropy with heavy-tailed noise ⋮ Distributed kernel gradient descent algorithm for minimum error entropy principle ⋮ Stability and optimization error of stochastic gradient descent for pairwise learning ⋮ Online minimum error entropy algorithm with unbounded sampling ⋮ Kernel gradient descent algorithm for information theoretic learning ⋮ A Framework of Learning Through Empirical Gain Maximization

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