12 citations · 29 across the 3 of their papers we have counts for
3 papers
stat.ML2016★ 8 cited
Active Information Acquisition
He He, Paul Mineiro, Nikos Karampatziakis
We propose a general framework for sequential and dynamic acquisition of useful information in order to solve a particular task. While our goal could in principle be tackled by gen…
cs.CL2015★ 12 cited
Learning to Search for Dependencies
Kai-Wei Chang, He He, Hal Daumé +1
We demonstrate that a dependency parser can be built using a credit assignment compiler which removes the burden of worrying about low-level machine learning details from the parse…
cs.LG2014★ 9 cited
A Credit Assignment Compiler for Joint Prediction
Kai-Wei Chang, He He, Hal Daumé +2
Many machine learning applications involve jointly predicting multiple mutually dependent output variables. Learning to search is a family of methods where the complex decision pro…