1 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.LG2019
Gradientless Descent: High-Dimensional Zeroth-Order Optimization
Daniel Golovin, John Karro, Greg Kochanski +3
Zeroth-order optimization is the process of minimizing an objective , given oracle access to evaluations at adaptively chosen inputs . In this paper, we present two simple…
cs.SD2011★ 1 cited
Detecting gross alignment errors in the Spoken British National Corpus
Ladan Baghai-Ravary, Sergio Grau, Greg Kochanski
The paper presents methods for evaluating the accuracy of alignments between transcriptions and audio recordings. The methods have been applied to the Spoken British National Corpu…
cs.SD2010★ 1 cited
Should Corpora be Big, Rich, or Dense?
Greg P. Kochanski, Chilin Shih, Ryan Shosted
In this paper, we ask what properties makes a large corpus more or less useful. We suggest that size, by itself, should not be the ultimate goal of building a corpus. Large-scale c…