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20052026
most citedAll Models are Wrong, but Many are Useful: Learning a Variable's Importance by Studying an Entire Class of Prediction Models Simultaneously

1.2k citations · 5k across the 152 of their papers we have counts for

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Showing 2016 · cs.AIShow all

2 papers · 2 filters

cs.AI2016★ 10 cited

Learning Cost-Effective Treatment Regimes using Markov Decision Processes

Himabindu Lakkaraju, Cynthia Rudin

Decision makers, such as doctors and judges, make crucial decisions such as recommending treatments to patients, and granting bails to defendants on a daily basis. Such decisions t…

cs.AI2016★ 9 cited

Scalable Bayesian Rule Lists

Hongyu Yang, Cynthia Rudin, Margo Seltzer

We present an algorithm for building probabilistic rule lists that is two orders of magnitude faster than previous work. Rule list algorithms are competitors for decision tree algo…