8 citations · 13 across the 4 of their papers we have counts for
4 papers
Generator Assisted Mixture of Experts For Feature Acquisition in Batch
Vedang Asgaonkar, Aditya Jain, Abir De
Given a set of observations, feature acquisition is about finding the subset of unobserved features which would enhance accuracy. Such problems have been explored in a sequential s…
Machine Learning in Sports: A Case Study on Using Explainable Models for Predicting Outcomes of Volleyball Matches
Abhinav Lalwani, Aman Saraiya, Apoorv Singh +2
Machine Learning has become an integral part of engineering design and decision making in several domains, including sports. Deep Neural Networks (DNNs) have been the state-of-the-…
Solving Fashion Recommendation -- The Farfetch Challenge
Manish Pathak, Aditya Jain
Recommendation engines are integral to the modern e-commerce experience, both for the seller and the end user. Accurate recommendations lead to higher revenue and better user exper…
Biased Models Have Biased Explanations
Aditya Jain, Manish Ravula, Joydeep Ghosh
We study fairness in Machine Learning (FairML) through the lens of attribute-based explanations generated for machine learning models. Our hypothesis is: Biased Models have Biased…