From 15edd147733ce2bad172b394913b6844eaff3b2b Mon Sep 17 00:00:00 2001 From: Arunav Sanyal Date: Sun, 9 Jul 2017 13:26:39 -0700 Subject: [PATCH] Adding the trusting classifiers paper from the Seattle papers we love (#466) chapter, presented on July 2017. --- machine_learning/README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/machine_learning/README.md b/machine_learning/README.md index fd6a0f7..ab7c027 100644 --- a/machine_learning/README.md +++ b/machine_learning/README.md @@ -15,6 +15,8 @@ * [Applications of Machine Learning to Location Data](http://www.berkkapicioglu.com/wp-content/uploads/2013/11/thesis_final.pdf) - Using machine learning to design and analyze novel algorithms that leverage location data. +* ["Why Should I Trust You?" Explaining the Predictions of Any Classifier](http://www.kdd.org/kdd2016/papers/files/rfp0573-ribeiroA.pdf) - This paper introduces an explanation technique for any classifier in a interpretable manner. + ## Hosted Papers * :scroll: **[A Sparse Johnson-Lindenstrauss Transform](dimensionality_reduction/a-sparse-johnson-lindenstrauss-transform.pdf)**