9 citations · 17 across the 4 of their papers we have counts for
4 papers
Nonparametric Neural Networks
George Philipp, Jaime G. Carbonell
Automatically determining the optimal size of a neural network for a given task without prior information currently requires an expensive global search and training many networks f…
Co-Clustering for Multitask Learning
Keerthiram Murugesan, Jaime Carbonell, Yiming Yang
This paper presents a new multitask learning framework that learns a shared representation among the tasks, incorporating both task and feature clusters. The jointly-induced cluste…
Extending a Single-Document Summarizer to Multi-Document: a Hierarchical Approach
Luís Marujo, Ricardo Ribeiro, David Martins de Matos +3
The increasing amount of online content motivated the development of multi-document summarization methods. In this work, we explore straightforward approaches to extend single-docu…
Bounds on the Minimax Rate for Estimating a Prior over a VC Class from Independent Learning Tasks
Liu Yang, Steve Hanneke, Jaime Carbonell
We study the optimal rates of convergence for estimating a prior distribution over a VC class from a sequence of independent data sets respectively labeled by independent target fu…