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cs.GT2026
Learning to Price with Persuasion
Maria-Florina Balcan, Tejas Pagare, Karan Singh
Motivated by modern marketplaces, where the platform or the seller routinely gathers detailed user profiles, we study a novel learning theoretic model that simultaneously involves…
cs.GT2025
Optimal Algorithms for Bandit Learning in Matching Markets
Tejas Pagare, Agniv Bandyopadhyay, Sandeep Juneja
We study the problem of pure exploration in matching markets under uncertain preferences, where the goal is to identify a stable matching with confidence parameter and minimal…