17 citations · 58 across the 19 of their papers we have counts for
4 papers · 1 filter
Equalizing Recourse across Groups
Vivek Gupta, Pegah Nokhiz, Chitradeep Dutta Roy +1
The rise in machine learning-assisted decision-making has led to concerns about the fairness of the decisions and techniques to mitigate problems of discrimination. If a negative d…
Bayes-optimal Hierarchical Classification over Asymmetric Tree-Distance Loss
Dheeraj Mekala, Vivek Gupta, Purushottam Kar +1
Hierarchical classification is supervised multi-class classification problem over the set of class labels organized according to a hierarchy. In this report, we study the work by R…
Efficient Estimation of Generalization Error and Bias-Variance Components of Ensembles
Dhruv Mahajan, Vivek Gupta, S Sathiya Keerthi +3
For many applications, an ensemble of base classifiers is an effective solution. The tuning of its parameters(number of classes, amount of data on which each classifier is to be tr…
Leveraging Distributional Semantics for Multi-Label Learning
Rahul Wadbude, Vivek Gupta, Piyush Rai +3
We present a novel and scalable label embedding framework for large-scale multi-label learning a.k.a ExMLDS (Extreme Multi-Label Learning using Distributional Semantics). Our appro…