Ganesh Ghalme

According to our database, Ganesh Ghalme authored at least 22 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Simultaneously Achieving Group Exposure Fairness and Within-Group Meritocracy in Stochastic Bandits.

Subham Pokhriyal, Shweta Jain, Ganesh Ghalme, Swapnil Dhamal, Sujit Gujar

CoRR, 2024

Online Algorithm for Clustering with Capacity Constraints.

Shivam Gupta, Shweta Jain, Narayanan C. Krishnan, Ganesh Ghalme, Nandyala Hemachandra

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

2023

Efficient algorithms for fair clustering with a new notion of fairness.

Shivam Gupta, Ganesh Ghalme, Narayanan C. Krishnan, Shweta Jain

Data Min. Knowl. Discov., September, 2023

A Discrete and Bounded Locally Envy-Free Cake Cutting Protocol on Trees.

Ganesh Ghalme, Xin Huang, Yuka Machino, Nidhi Rathi

Proceedings of the Web and Internet Economics - 19th International Conference, 2023

Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee for Improving Bandits.

Vishakha Patil, Vineet Nair, Ganesh Ghalme, Arindam Khan

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Algorithmic Recourse based on User's Feature-order Preference.

Manan Singh, Sai Srinivas Kancheti, Shivam Gupta, Ganesh Ghalme, Shweta Jain, Narayanan C. Krishnan

Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 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

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Group Fair Clustering Revisited - Notions and Efficient Algorithm.

Shivam Gupta, Ganesh Ghalme, Narayanan C. Krishnan, Shweta Jain

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Individual fairness in feature-based pricing for monopoly markets.

Shantanu Das, Swapnil Dhamal, Ganesh Ghalme, Shweta Jain, Sujit Gujar

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Strategic Representation.

Vineet Nair, Ganesh Ghalme, Inbal Talgam-Cohen, Nir Rosenfeld

Proceedings of the International Conference on Machine Learning, 2022

Long-Term Resource Allocation Fairness in Average Markov Decision Process (AMDP) Environment.

Ganesh Ghalme, Vineet Nair, Vishakha Patil, Yilun Zhou

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Achieving Fairness in the Stochastic Multi-Armed Bandit Problem.

Vishakha Patil, Ganesh Ghalme, Vineet Nair, Y. Narahari

J. Mach. Learn. Res., 2021

Efficient Algorithms For Fair Clustering with a New Fairness Notion.

Shivam Gupta, Ganesh Ghalme, Narayanan C. Krishnan, Shweta Jain

CoRR, 2021

Sleeping Combinatorial Bandits.

Kumar Abhishek, Ganesh Ghalme, Sujit Gujar, Yadati Narahari

CoRR, 2021

State-Visitation Fairness in Average-Reward MDPs.

Ganesh Ghalme, Vineet Nair, Vishakha Patil, Yilun Zhou

CoRR, 2021

Ballooning multi-armed bandits.

Ganesh Ghalme, Swapnil Dhamal, Shweta Jain, Sujit Gujar, Y. Narahari

Artif. Intell., 2021

Strategic Classification in the Dark.

Ganesh Ghalme, Vineet Nair, Itay Eilat, Inbal Talgam-Cohen, Nir Rosenfeld

Proceedings of the 38th International Conference on Machine Learning, 2021

2019

Fair Division of Indivisible Goods Among Strategic Agents.

Siddharth Barman, Ganesh Ghalme, Shweta Jain, Pooja Kulkarni, Shivika Narang

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Design of Coalition Resistant Credit Score Functions for Online Discussion Forums.

Ganesh Ghalme, Sujit Gujar, Amleshwar Kumar, Shweta Jain, Y. Narahari

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

Analysis of Thompson Sampling for Stochastic Sleeping Bandits.

Aritra Chatterjee, Ganesh Ghalme, Shweta Jain, Rohit Vaish, Y. Narahari

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Thompson Sampling Based Mechanisms for Stochastic Multi-Armed Bandit Problems.

Ganesh Ghalme, Shweta Jain, Sujit Gujar, Y. Narahari

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

2016

A Deterministic MAB Mechanism for Crowdsourcing with Logarithmic Regret and Immediate Payments.

Shweta Jain, Ganesh Ghalme, Satyanath Bhat, Sujit Gujar, Y. Narahari

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016