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cs.LG2026
Linear Strategic Classification with Endogenous Improvements
Siddharth Shrivastava, Mahvith Akshintala, B Vamsha Vardhan Reddy +3
Strategic classification studies settings in which agents respond to a deployed classifier by modifying observable features at a cost. Classical models typically treat such respons…
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.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…