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Prediction-sharing During Training and Inference
March 27, 2024, 4:42 a.m. | Yotam Gafni, Ronen Gradwohl, Moshe Tennenholtz
cs.LG updates on arXiv.org arxiv.org
Abstract: Two firms are engaged in a competitive prediction task. Each firm has two sources of data -- labeled historical data and unlabeled inference-time data -- and uses the former to derive a prediction model, and the latter to make predictions on new instances. We study data-sharing contracts between the firms. The novelty of our study is to introduce and highlight the differences between contracts that share prediction models only, contracts to share inference-time predictions only, …
abstract arxiv cs.ai cs.gt cs.lg cs.ma data econ.th historical data inference instances prediction predictions study time data training type
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