209 citations
- Dartmouth CollegeUS135 papers
- Princeton UniversityUS8 papers
- University of California, BerkeleyUS8 papers
- Carnegie Mellon UniversityUS7 papers
- University of Maryland, College ParkUS7 papers
- California Institute of TechnologyUS6 papers
- University of IowaUS6 papers
- Yale UniversityUS6 papers
- Cornell UniversityUS5 papers
- Fermi National Accelerator LaboratoryUS5 papers
- Gemini South ObservatoryCL5 papers
- Georgia Institute of TechnologyUS5 papers
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stat.ML2015★ 11 cited
Cheaper and Better: Selecting Good Workers for Crowdsourcing
Hongwei Li, Qiang Liu
Crowdsourcing provides a popular paradigm for data collection at scale. We study the problem of selecting subsets of workers from a given worker pool to maximize the accuracy under…
stat.ML2014★ 1 cited
Multi-Task Metric Learning on Network Data
Chen Fang, Daniel N. Rockmore
Multi-task learning (MTL) improves prediction performance in different contexts by learning models jointly on multiple different, but related tasks. Network data, which are a prior…
stat.ML2012★ 9 cited
A unifying representation for a class of dependent random measures
Nicholas J. Foti, Joseph D. Futoma, Daniel N. Rockmore +1
We present a general construction for dependent random measures based on thinning Poisson processes on an augmented space. The framework is not restricted to dependent versions of…