4 papers
Multi-agent Multi-armed Bandits with Minimum Reward Guarantee Fairness
Piyushi Manupriya, Himanshu, SakethaNath Jagarlapudi +1
We investigate the problem of maximizing social welfare while ensuring fairness in a multi-agent multi-armed bandit (MA-MAB) setting. In this problem, a centralized decision-maker…
Learning Counterfactually Fair Models via Improved Generation with Neural Causal Models
Krishn Vishwas Kher, Saksham Mittal, Aditya Varun +2
One of the main concerns while deploying machine learning models in real-world applications is fairness. Counterfactual fairness has emerged as an intuitive and natural definition…
Unsupervised Structural-Counterfactual Generation under Domain Shift
Krishn Vishwas Kher, Lokesh Venkata Siva Maruthi Badisa, Saksham Mittal +3
Motivated by the burgeoning interest in cross-domain learning, we present a novel generative modeling challenge: generating counterfactual samples in a target domain based on factu…
Submodular Framework for Structured-Sparse Optimal Transport
Piyushi Manupriya, Pratik Jawanpuria, Karthik S. Gurumoorthy +2
Unbalanced optimal transport (UOT) has recently gained much attention due to its flexible framework for handling un-normalized measures and its robustness properties. In this work,…