2 citations · 2 across the 5 of their papers we have counts for
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cs.LG2026
QueryMarket: Cost-Aware Online Active Learning in Data Markets
Xiwen Huang, Pierre Pinson
Data acquisition is a major bottleneck for learning in real-time streams: analysts must decide on the fly which labels to purchase while respecting a rolling budget. However, exist…
cs.LG2023★ 2 cited
Privacy-Aware Data Acquisition under Data Similarity in Regression Markets
Shashi Raj Pandey, Pierre Pinson, Petar Popovski
Data markets facilitate decentralized data exchange for applications such as prediction, learning, or inference. The design of these markets is challenged by varying privacy prefer…
cs.LG2023
Bayesian Regression Markets
Thomas Falconer, Jalal Kazempour, Pierre Pinson
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 held privately b…