41 citations · 80 across the 5 of their papers we have counts for
5 papers
A Simple Algorithm for Semi-supervised Learning with Improved Generalization Error Bound
Ming Ji, Tianbao Yang, Binbin Lin +2
In this work, we develop a simple algorithm for semi-supervised regression. The key idea is to use the top eigenfunctions of integral operator derived from both labeled and unlabel…
Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning
Peilin Zhao, Jialei Wang, Pengcheng Wu +2
Kernel-based online learning has often shown state-of-the-art performance for many online learning tasks. It, however, suffers from a major shortcoming, that is, the unbounded numb…
Multiple Kernel Learning from Noisy Labels by Stochastic Programming
Tianbao Yang, Mehrdad Mahdavi, Rong Jin +2
We study the problem of multiple kernel learning from noisy labels. This is in contrast to most of the previous studies on multiple kernel learning that mainly focus on developing…
A Bayesian Framework for Community Detection Integrating Content and Link
Tianbao Yang, Rong Jin, Yun Chi +1
This paper addresses the problem of community detection in networked data that combines link and content analysis. Most existing work combines link and content information by a gen…
Efficient Constrained Regret Minimization
Mehrdad Mahdavi, Tianbao Yang, Rong Jin
Online learning constitutes a mathematical and compelling framework to analyze sequential decision making problems in adversarial environments. The learner repeatedly chooses an ac…