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Found 5 papers, 2 papers with code
ABCinML: Anticipatory Bias Correction in Machine Learning Applications
The idealization of a static machine-learned model, trained once and deployed forever, is not practical.
No-Regret and Incentive-Compatible Online Learning
First, we want the learning algorithm to be no-regret with respect to the best fixed expert in hindsight.
Crowdsourced Outcome Determination in Prediction Markets
A prediction market is a useful means of aggregating information about a future event.
The Possibilities and Limitations of Private Prediction Markets
We consider the design of private prediction markets, financial markets designed to elicit predictions about uncertain events without revealing too much information about market participants' actions or beliefs.
Budget Constraints in Prediction Markets
We give a detailed characterization of optimal trades under budget constraints in a prediction market with a cost-function-based automated market maker.
