151 citations · 692 across the 40 of their papers we have counts for
Showing 2017 · stat.MLShow all
3 papers · 2 filters
stat.ML2017
A Double Parametric Bootstrap Test for Topic Models
Skyler Seto, Sarah Tan, Giles Hooker +1
Non-negative matrix factorization (NMF) is a technique for finding latent representations of data. The method has been applied to corpora to construct topic models. However, NMF ha…
stat.ML2017★ 124 cited
Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation
Sarah Tan, Rich Caruana, Giles Hooker +1
Black-box risk scoring models permeate our lives, yet are typically proprietary or opaque. We propose Distill-and-Compare, a model distillation and comparison approach to audit suc…
stat.ML2017
Machine Learning and the Future of Realism
Giles Hooker, Cliff Hooker
The preceding three decades have seen the emergence, rise, and proliferation of machine learning (ML). From half-recognised beginnings in perceptrons, neural nets, and decision tre…