2 citations · 2 across the 5 of their papers we have counts for
5 papers
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…
Selling Information to a Competitor
Thomas Falconer, Anubhav Ratha, Jalal Kazempour +2
Selling information to a competitor can generate revenue but may also help the rival choose better actions in the market they compete in. We study this trade-off when the buyer's d…
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…
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…
Towards Replication-Robust Analytics Markets
Thomas Falconer, Jalal Kazempour, Pierre Pinson
Despite recent advancements in machine learning, in practice, relevant datasets are often distributed among market competitors who are reluctant to share. To incentivize data shari…