33 citations · 41 across the 4 of their papers we have counts for
4 papers
NN2Rules: Extracting Rule List from Neural Networks
G Roshan Lal, Varun Mithal
We present an algorithm, NN2Rules, to convert a trained neural network into a rule list. Rule lists are more interpretable since they align better with the way humans make decision…
TE2Rules: Explaining Tree Ensembles using Rules
G Roshan Lal, Xiaotong Chen, Varun Mithal
Tree Ensemble (TE) models, such as Gradient Boosted Trees, often achieve optimal performance on tabular datasets, yet their lack of transparency poses challenges for comprehending…
Fairness-Aware Online Personalization
G Roshan Lal, Sahin Cem Geyik, Krishnaram Kenthapadi
Decision making in crucial applications such as lending, hiring, and college admissions has witnessed increasing use of algorithmic models and techniques as a result of a confluenc…
A Deep Recurrent Framework for Cleaning Motion Capture Data
Utkarsh Mall, G. Roshan Lal, Siddhartha Chaudhuri +1
We present a deep, bidirectional, recurrent framework for cleaning noisy and incomplete motion capture data. It exploits temporal coherence and joint correlations to infer adaptive…