Search Results for author: Akrati Saxena

Found 2 papers, 0 papers with code

FAL-CUR: Fair Active Learning using Uncertainty and Representativeness on Fair Clustering

no code implementations21 Sep 2022 Ricky Fajri, Akrati Saxena, Yulong Pei, Mykola Pechenizkiy

This paper presents a novel active learning strategy called Fair Active Learning using fair Clustering, Uncertainty, and Representativeness (FAL-CUR) that provides a high accuracy while maintaining fairness during the sample acquisition phase.

Active Learning Fairness

Survey on Fair Reinforcement Learning: Theory and Practice

no code implementations20 May 2022 Pratik Gajane, Akrati Saxena, Maryam Tavakol, George Fletcher, Mykola Pechenizkiy

In this article, we provide an extensive overview of fairness approaches that have been implemented via a reinforcement learning (RL) framework.

Decision Making Fairness +2

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