68 citations · 71 across the 3 of their papers we have counts for
3 papers
stat.ML2017★ 3 cited
Extrapolating Expected Accuracies for Large Multi-Class Problems
Charles Zheng, Rakesh Achanta, Yuval Benjamini
The difficulty of multi-class classification generally increases with the number of classes. Using data from a subset of the classes, can we predict how well a classifier will scal…
stat.ME2015★ 68 cited
Learning Summary Statistic for Approximate Bayesian Computation via Deep Neural Network
Bai Jiang, Tung-yu Wu, Charles Zheng +1
Approximate Bayesian Computation (ABC) methods are used to approximate posterior distributions in models with unknown or computationally intractable likelihoods. Both the accuracy…
stat.ML2014
Quantifying error in estimates of human brain fiber directions using Earth Mover's Distance
Charles Zheng, Franco Pestilli, Ariel Rokem
Diffusion-weighted MR imaging (DWI) is the only method we currently have to measure connections between different parts of the human brain in vivo. To elucidate the structure of th…