Fairness-Aware Online Personalization

1 code implementation • 30 Jul 2020 • G. Roshan Lal, Sahin Cem Geyik, Krishnaram Kenthapadi

For this purpose, we construct a stylized model for generating training data with potentially biased features as well as potentially biased labels and quantify the extent of bias that is learned by the model when the user responds in a biased manner as in many real-world scenarios.

Cloud Computing Decision Making +2

A Deep Recurrent Framework for Cleaning Motion Capture Data

no code implementations • 9 Dec 2017 • Utkarsh Mall, G. Roshan Lal, Siddhartha Chaudhuri, Parag Chaudhuri

We present a deep, bidirectional, recurrent framework for cleaning noisy and incomplete motion capture data.