Publications

The full publication record of Dr. Ganesh Ghalme, spanning work with GAMBIT Lab members and his wider collaborators.

2026

Linear Strategic Classification with Endogenous Improvements

Siddharth Shrivastava, Mahvith Akshintala, B. Vamsha Vardhan Reddy, Naresh Manwani, Sujit Gujar, Ganesh Ghalme

arXiv 2026 View on arXiv
Multi-Sender Bayesian Persuasion with Imperfect Information

Andra Siva Sai Teja, Ganesh Ghalme, Sujit Gujar

arXiv 2026 View on arXiv
On Condorcet's Jury Theorem with Abstention

Reshef Meir, Ganesh Ghalme

AAAI 2026 View on arXiv
Resourced Authority: A Mechanism-Design Model for Participatory Governance of Deployed AI Agents

Praphul Chandra, Sujit Gujar, Ganesh Ghalme

arXiv 2026 View on arXiv
Lipschitz Dueling Bandits over Continuous Action Spaces

Mudit Sharma, Shweta Jain, Vaneet Aggarwal, Ganesh Ghalme

arXiv 2026 View on arXiv

2025

Multi-agent Multi-armed Bandits with Minimum Reward Guarantee Fairness

Piyushi Manupriya, Himanshu, Saketha Nath Jagarlapudi, Ganesh Ghalme

AAMAS 2025 View proceedings
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 View proceedings
Anytime Fairness Guarantees in Stochastic Combinatorial MABs: A Novel Learning Framework

Subham Pokhriyal, Shweta Jain, Ganesh Ghalme, Vaneet Aggarwal

AAMAS 2025 View proceedings

2024

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

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

AAMAS 2024 View on arXiv
Capacitated Online Clustering Algorithm

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

ECAI 2024 View article
Online Algorithm for Clustering with Capacity Constraints

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

CODS-COMAD 2024 View article

2023

Group Fair Clustering Revisited: Notions and Efficient Algorithm

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

AAMAS 2023 View proceedings
Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee for Improving Bandits

Vishakha Patil, Vineet Nair, Ganesh Ghalme, Arindam Khan

IJCAI 2023 View on arXiv
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 View on arXiv
Algorithmic Recourse based on User's Feature-order Preference

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

CODS-COMAD 2023 View article
A Discrete and Bounded Locally Envy-Free Cake Cutting Protocol on Trees

Ganesh Ghalme, Xin Huang, Yuka Machino, Nidhi Rathi

WINE 2023 View on arXiv
Efficient Algorithms for Fair Clustering with a New Notion of Fairness

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

Data Mining and Knowledge Discovery, 2023 View article

2022

Strategic Representation

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

ICML 2022 View on arXiv
Individual Fairness in Feature-Based Pricing for Monopoly Markets

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

UAI 2022 View on arXiv
Envy-Free Cake Cutting with Graph Constraints

Ganesh Ghalme, Xin Huang, Nidhi Rathi

arXiv 2022 View on arXiv
Long-Term Resource Allocation Fairness in Average Markov Decision Process (AMDP) Environment

Ganesh Ghalme, Vineet Nair, Vishakha Patil, Yilun Zhou

AAMAS 2022 View on arXiv

2021

Strategic Classification in the Dark

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

ICML 2021 View on arXiv
Achieving Fairness in the Stochastic Multi-Armed Bandit Problem

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

Journal of Machine Learning Research, 2021 View on arXiv
Ballooning Multi-Armed Bandits

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

Artificial Intelligence (Elsevier), 2021 View article
Sleeping Combinatorial Bandits

Kumar Abhishek, Ganesh Ghalme, Sujit Gujar, Y. Narahari

arXiv 2021 View on arXiv

2020

Algorithms for Social Good in Online Platforms with Guarantees on Honest Participation and Fairness

Ganesh Ghalme

PhD Thesis, Indian Institute of Science, Bangalore, 2020

2019

Fair Division of Indivisible Goods Among Strategic Agents

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

AAMAS 2019 View proceedings

2018

Design of Coalition Resistant Credit Score Functions for Online Discussion Forums

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

AAMAS 2018 View proceedings

2017

Thompson Sampling Based Mechanisms for Stochastic Multi-Armed Bandit Problems

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

AAMAS 2017 View proceedings
Analysis of Thompson Sampling for Stochastic Sleeping Bandits

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

UAI 2017

2016

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

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

AAMAS 2016 View proceedings
Mechanisms with Learning for Stochastic Multi-Armed Bandit Problems

Shweta Jain, Satyanath Bhat, Ganesh Ghalme, Divya Padmanabhan, Y. Narahari

Indian Journal of Pure and Applied Mathematics, 2016