… structure of the crowd, one can indeed design polynomial time PAC learning algorithms even
… More generally, interactive models of learning have been studied in the machine learning …

… We study crowdsourced PAC learning of threshold function, … and query efficient PAC learning
algorithm been established … of instances, and a label-efficient filtering process that in con…

… In this paper, we study the problem of learning a classifier from data labeled by a crowd of
… be efficiently PAC learned from the crowd given the ability to efficiently find an ERM over C. …

… We say a crowdsourced PAC learner is label-efficient if ΛL = o(1). Our goal is to design a
polynomial-time PAC learning algorithm that is both query-efficient and label-efficient; in ad…

… crowd are asked to complete the tasks. Upon each task completion, a worker receives a small
monetary reward. Since some workers from the crowd … to develop an efficient algorithm to …

… First, we showed that adversarial multi-source PAC learning is possible for any … PAC learning
from multiple sources is far from trivial. In particular, it is impossible to achieve for learners …

… First, we showed that adversarial multi-source PAC learning is possible for any … PAC learning
from multiple sources is far from trivial. In particular, it is impossible to achieve for learners …

… It currently includes over 50 classes, with more images added continuously by a crowd-sourced …
[14] extends branch& bound efficient detection to 3D and adds size and supportsurface …

… Our results provide an understanding about how to allocate crowd labels efficiently, and are
… learning task, one must collect at least a number of crowd labels for PAC learning; we call …

… • We consider the problem of PAC learning a binary classifier … complexity bounds for PAC
learning of finite concept class … Now, we extend the PAC learning framework to the case of n …