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04/20/2023
Optimality of Robust Online Learning
In this paper, we study an online learning algorithm with a robust loss ...
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11/24/2022
Online Regularized Learning Algorithm for Functional Data
In recent years, functional linear models have attracted growing attenti...
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09/25/2022
Capacity dependent analysis for functional online learning algorithms
This article provides convergence analysis of online stochastic gradient...
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08/26/2022
Coefficient-based Regularized Distribution Regression
In this paper, we consider the coefficient-based regularized distributio...
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01/01/2019
Realizing data features by deep nets
This paper considers the power of deep neural networks (deep nets for sh...
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10/10/2017
Fast and Strong Convergence of Online Learning Algorithms
In this paper, we study the online learning algorithm without explicit r...
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05/11/2014
Learning from networked examples
Many machine learning algorithms are based on the assumption that traini...
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06/03/2013
Learning from networked examples in a k-partite graph
Many machine learning algorithms are based on the assumption that traini...
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07/23/2012