47 citations · 102 across the 27 of their papers we have counts for
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cs.AI2020
MAIRE -- A Model-Agnostic Interpretable Rule Extraction Procedure for Explaining Classifiers
Rajat Sharma, Nikhil Reddy, Vidhya Kamakshi +2
The paper introduces a novel framework for extracting model-agnostic human interpretable rules to explain a classifier's output. The human interpretable rule is defined as an axis-…
cs.AI2016★ 1 cited
A Truthful Mechanism with Biparameter Learning for Online Crowdsourcing
Satyanath Bhat, Divya Padmanabhan, Shweta Jain +1
We study a problem of allocating divisible jobs, arriving online, to workers in a crowdsourcing setting which involves learning two parameters of strategically behaving workers. Ea…