The idealization of a static machine-learned model, trained once and dep...
Financial options are contracts that specify the right to buy or sell an...
We design a prediction market to recover a complete and fully general
pr...
We initiate the study of incentive-compatible forecasting competitions i...
We study the problem of finding personalized reserve prices for unit-dem...
We study online learning settings in which experts act strategically to
...
We consider a participatory budgeting problem in which each voter submit...
A prediction market is a useful means of aggregating information about a...
We consider the design of private prediction markets, financial markets
...
We give a detailed characterization of optimal trades under budget
const...
We present a methodology for representing probabilistic relationships in...
We consider the problem of belief aggregation: given a group of individu...
I present a parallel algorithm for exact probabilistic inference in Baye...
Graphical models based on conditional independence support concise encod...
Recommender systems leverage product and community information to target...
We develop a model of how information flows into a market, and derive
al...
To overcome the #P-hardness of computing/updating prices in logarithm ma...