activity
20242026
collaborators

9 papers

cs.GT2026

Fair Stable Matching: A Nash Social Welfare Approach

Parth Desai, Rasheed M, Ganesh Ghalme +1

While traditional stable matching algorithms, such as the Gale-Shapley algorithm, prioritize stability, they may fall short of achieving equitable outcomes among participants. We s…

cs.GT2026

Resourced Authority A Mechanism-Design Model for Participatory Governance of Deployed AI Agents

Praphul Chandra, Sujit Gujar, Ganesh Ghalme

We give a formal mechanism design model for the continuous participatory governance of a deployed AI agent. The mechanism is built on the principle that governance should control a…

cs.LG2026

Linear Strategic Classification with Endogenous Improvements

Siddharth Shrivastava, Mahvith Akshintala, B Vamsha Vardhan Reddy +3

Classical models of strategic classification treat agents' responses to a deployed classifier as cosmetic: features change, but true labels do not. We study an improvement-aware va…

cs.GT2026

Multi-Sender Bayesian Persuasion with Imperfect Information

Andra Siva Sai Teja, Ganesh Ghalme, Sujit Gujar

We study a multi-sender Bayesian persuasion problem with one receiver and several strategic senders. The underlying ground state has multiple components, each privately observed by…

cs.LG2026

Lipschitz Dueling Bandits over Continuous Action Spaces

Mudit Sharma, Shweta Jain, Vaneet Aggarwal +1

We study for the first time, stochastic dueling bandits over continuous action spaces with Lipschitz structure, where feedback is purely comparative. While dueling bandits and Lips…

cs.GT2025

On Condorcet's Jury Theorem with Abstention

Reshef Meir, Ganesh Ghalme

The well-known Condorcet Jury Theorem states that, under majority rule, the better of two alternatives is chosen with probability approaching one as the population grows. We study…

cs.LG2025

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…

cs.GT2024

Condorcet's Jury Theorem with Abstention

Ganesh Ghalme, Reshef Meir

The well-known Condorcet's Jury theorem posits that the majority rule selects the best alternative among two available options with probability one, as the population size increase…

cs.LG2024

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

Subham Pokhriyal, Shweta Jain, Ganesh Ghalme +2

Existing approaches to fairness in stochastic multi-armed bandits (MAB) primarily focus on exposure guarantee to individual arms. When arms are naturally grouped by certain attribu…