41 citations · 80 across the 5 of their papers we have counts for
4 papers · 1 filter
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…
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…