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cs.GT2025
The price of uncertainty for social consensus
Yunzhe Bai, Alec Sun
How hard is it to achieve consensus in a social network under uncertainty? In this paper we model this problem as a social graph of agents where each vertex is initially colored re…
cs.LG2025
Conservative classifiers do consistently well with improving agents: characterizing statistical and online learning
Dravyansh Sharma, Alec Sun
Machine learning is now ubiquitous in societal decision-making, for example in evaluating job candidates or loan applications, and it is increasingly important to take into account…
cs.GT2025
How to sell a service with uncertain outcomes
Krishnamurthy Iyer, Alec Sun, Haifeng Xu +1
Motivated by the recent popularity of machine learning training services, we introduce a contract design problem in which a provider sells a service that results in an outcome of u…