Envy-Free Cake Cutting with Graph Constraints. Ganesh Ghalme, Xin Huang and Nidhi Rathi. Accepted to WINE 2023 and Computational Fair Division workshop at IJCAI 2023 arXiv
Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee for Improving Bandits, Vishakha Patil, Vineet Nair, Ganesh Ghalme, Arindam Khan. IJCAI 2023 arXiv
"Efficient Algorithms for Fair Clustering with a New Fairness Notion". Shivam Gupta, Ganesh Ghalme, Narayanan C Krishnan & Shweta Jain. Data Mining and Knowledge Discovery Journal (DMKD), pages 1–39, 2023.
[Book Chapter] "Group and individual fairness in clustering algorithms". Shivam Gupta, Shweta Jain, Ganesh Ghalme, Narayanan C. Krishnan, and Nandyala Hemachandra. AI and Ethics, Springer, 2023.
Designing Fair, Cost-optimal Auctions based on Deep Learning for Procuring Agricultural Inputs through Farmer Collectives, Mayank Ratan Bhardwaj, Bazil Ahmed, Prathik Diwakar, Ganesh Ghalme, Y Narahari, IEEE-CASE 2023, arXiv
Individual Fairness in Feature-Based Pricing for Monopoly Markets. Shantanu Das, Swapnil Dhamal, Ganesh Ghalme, Shweta Jain and Sujit Gujar, UAI 2022, arXiv.
Strategic Representation. Vineet Nair, Ganesh Ghalme, Inbal Talgam-Cohen and Nir Rosenfeld. Accepted, ICML 2022, arXiv.
Long-Term Resource Allocation Fairness in Average Markov Decision Process (AMDP) Environment. Ganesh Ghalme, Vineet Nair, Vishakha Patil and Yilun Zhou. AAMAS 2022.
Strategic Classification in the Dark. Ganesh Ghalme, Vineet Nair, Itay Eilat, Inbal Talgam-Cohen and Nir Rosenfeld. ICML 2021.