A Deterministic MAB Mechanism for Crowdsourcing with Logarithmic Regret and Immediate Payments. - Shweta Jain 002; Ganesh Ghalme; Satyanath Bhat; Sujit Gujar; Y. Narahari (AAMAS, 2016)

Thompson Sampling Based Mechanisms for Stochastic Multi-Armed Bandit Problems. - Ganesh Ghalme; Shweta Jain 002; Sujit Gujar; Y. Narahari (AAMAS, 2017)

Analysis of Thompson Sampling for Stochastic Sleeping Bandits. - Aritra Chatterjee 001; Ganesh Ghalme; Shweta Jain 002; Rohit Vaish; Y. Narahari (UAI, 2017)

Design of Coalition Resistant Credit Score Functions for Online Discussion Forums. - Ganesh Ghalme; Sujit Gujar; Amleshwar Kumar; Shweta Jain 002; Y. Narahari (AAMAS, 2018)

Fair Division of Indivisible Goods Among Strategic Agents. - Siddharth Barman; Ganesh Ghalme; Shweta Jain 002; Pooja Kulkarni; Shivika Narang (AAMAS, 2019)

Strategic Classification in the Dark. - Ganesh Ghalme; Vineet Nair; Itay Eilat; Inbal Talgam-Cohen; Nir Rosenfeld (ICML, 2021)

Ballooning multi-armed bandits. - Ganesh Ghalme; Swapnil Dhamal; Shweta Jain 002; Sujit Gujar; Y. Narahari (Artif. Intell., 2021)

State-Visitation Fairness in Average-Reward MDPs. - Ganesh Ghalme; Vineet Nair; Vishakha Patil; Yilun Zhou (CoRR, 2021)

Sleeping Combinatorial Bandits. - Kumar Abhishek 003; Ganesh Ghalme; Sujit Gujar; Yadati Narahari (CoRR, 2021)

Efficient Algorithms For Fair Clustering with a New Fairness Notion. - Shivam Gupta 004; Ganesh Ghalme; Narayanan C. Krishnan; Shweta Jain 002 (CoRR, 2021)

Achieving Fairness in the Stochastic Multi-Armed Bandit Problem. - Vishakha Patil; Ganesh Ghalme; Vineet Nair; Y. Narahari (J. Mach. Learn. Res., 2021)

Long-Term Resource Allocation Fairness in Average Markov Decision Process (AMDP) Environment. - Ganesh Ghalme; Vineet Nair; Vishakha Patil; Yilun Zhou (AAMAS, 2022)

Strategic Representation. - Vineet Nair; Ganesh Ghalme; Inbal Talgam-Cohen; Nir Rosenfeld (ICML, 2022)

Individual fairness in feature-based pricing for monopoly markets. - Shantanu Das; Swapnil Dhamal; Ganesh Ghalme; Shweta Jain 002; Sujit Gujar (UAI, 2022)

Group Fair Clustering Revisited - Notions and Efficient Algorithm. - Shivam Gupta 004; Ganesh Ghalme; Narayanan C. Krishnan; Shweta Jain 002 (AAMAS, 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 (CASE, 2023)

Algorithmic Recourse based on User's Feature-order Preference. - Manan Singh; Sai Srinivas Kancheti; Shivam Gupta 004; Ganesh Ghalme; Shweta Jain 002; Narayanan C. Krishnan (COMAD/CODS, 2023)

Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee for Improving Bandits. - Vishakha Patil; Vineet Nair; Ganesh Ghalme; Arindam Khan 001 (IJCAI, 2023)

A Discrete and Bounded Locally Envy-Free Cake Cutting Protocol on Trees. - Ganesh Ghalme; Xin Huang; Yuka Machino; Nidhi Rathi (WINE, 2023)

Efficient algorithms for fair clustering with a new notion of fairness. - Shivam Gupta 004; Ganesh Ghalme; Narayanan C. Krishnan; Shweta Jain 002 (Data Min. Knowl. Discov., 2023)

Simultaneously Achieving Group Exposure Fairness and Within-Group Meritocracy in Stochastic Bandits. - Subham Pokhriyal; Shweta Jain 002; Ganesh Ghalme; Swapnil Dhamal; Sujit Gujar (AAMAS, 2024)

Online Algorithm for Clustering with Capacity Constraints. - Shivam Gupta 004; Shweta Jain 002; Narayanan C. Krishnan; Ganesh Ghalme; Nandyala Hemachandra (COMAD/CODS, 2024)

Capacitated Online Clustering Algorithm. - Shivam Gupta 004; Shweta Jain 002; Narayanan C. Krishnan; Ganesh Ghalme; Nandyala Hemachandra (ECAI, 2024)

Condorcet's Jury Theorem with Abstention. - Ganesh Ghalme; Reshef Meir (CoRR, 2024)

Regret Guarantees for a UCB-based Algorithm for Volatile Combinatorial Bandits. - Abhishek Kumar; Andra Siva Sai Teja; Ganesh Ghalme; Sujit Gujar; Y. Narahari (AAMAS, 2025)

Multi-agent Multi-armed Bandits with Minimum Reward Guarantee Fairness. - Piyushi Manupriya; Himanshu; Saketha Nath Jagarlapudi; Ganesh Ghalme (AAMAS, 2025)

Anytime Fairness Guarantees in Stochastic Combinatorial MABs: A Novel Learning Framework. - Subham Pokhriyal; Shweta Jain 002; Ganesh Ghalme; Vaneet Aggarwal (AAMAS, 2025)