114 citations · 125 across the 3 of their papers we have counts for
4 papers
Multi-task and Lifelong Learning of Kernels
Anastasia Pentina, Shai Ben-David
We consider a problem of learning kernels for use in SVM classification in the multi-task and lifelong scenarios and provide generalization bounds on the error of a large margin cl…
Multi-Task Learning with Labeled and Unlabeled Tasks
Anastasia Pentina, Christoph H. Lampert
In multi-task learning, a learner is given a collection of prediction tasks and needs to solve all of them. In contrast to previous work, which required that annotated training dat…
Curriculum Learning of Multiple Tasks
Anastasia Pentina, Viktoriia Sharmanska, Christoph H. Lampert
Sharing information between multiple tasks enables algorithms to achieve good generalization performance even from small amounts of training data. However, in a realistic scenario…
A PAC-Bayesian bound for Lifelong Learning
Anastasia Pentina, Christoph H. Lampert
Transfer learning has received a lot of attention in the machine learning community over the last years, and several effective algorithms have been developed. However, relatively l…