13 citations · 28 across the 4 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2014★ 3 cited
Exploiting Smoothness in Statistical Learning, Sequential Prediction, and Stochastic Optimization
Mehrdad Mahdavi
In the last several years, the intimate connection between convex optimization and learning problems, in both statistical and sequential frameworks, has shifted the focus of algori…
cs.LG2012★ 13 cited
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…
cs.LG2012★ 8 cited
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…