Abstract
Although machine learning tasks are highly sensitive to the quality of input data, relevant datasets can often be challenging for firms to acquire, especially when distributed amongst a variety of owners. For instance, if these owners are competitors in a downstream market, they may be reluctant to share information. Focusing on supervised learning for regression tasks, we develop a regression market to provide a monetary incentive for data sharing. Our proposed mechanism adopts a Bayesian framework, allowing us to consider a more general class of regression tasks. We present a thorough exploration of the market properties, and show that similar proposals in literature expose the market agents to sizeable financial risks, which can be mitigated in our setup.
Original language | English |
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Journal | Journal of Machine Learning Research |
Volume | 25 |
Number of pages | 35 |
ISSN | 1533-7928 |
Publication status | Published - 2024 |
Keywords
- Regression
- Bayesian interface
- Collaborative analytics
- Data markets
- Game theory