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06/14/2022
ABCinML: Anticipatory Bias Correction in Machine Learning Applications
The idealization of a static machine-learned model, trained once and dep...
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09/14/2021
Designing a Combinatorial Financial Options Market
Financial options are contracts that specify the right to buy or sell an...
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02/15/2021
Log-time Prediction Markets for Interval Securities
We design a prediction market to recover a complete and fully general pr...
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01/05/2021
Incentive-Compatible Forecasting Competitions
We initiate the study of incentive-compatible forecasting competitions i...
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07/24/2020
Beating Greedy For Approximating Reserve Prices in Multi-Unit VCG Auctions
We study the problem of finding personalized reserve prices for unit-dem...
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02/20/2020
No-Regret and Incentive-Compatible Online Learning
We study online learning settings in which experts act strategically to ...
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05/01/2019
Truthful Aggregation of Budget Proposals
We consider a participatory budgeting problem in which each voter submit...
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12/14/2016
Crowdsourced Outcome Determination in Prediction Markets
A prediction market is a useful means of aggregating information about a...
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02/24/2016
The Possibilities and Limitations of Private Prediction Markets
We consider the design of private prediction markets, financial markets ...
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10/07/2015
Budget Constraints in Prediction Markets
We give a detailed characterization of optimal trades under budget const...
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02/13/2013
Toward a Market Model for Bayesian Inference
We present a methodology for representing probabilistic relationships in...
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02/06/2013
Representing Aggregate Belief through the Competitive Equilibrium of a Securities Market
We consider the problem of belief aggregation: given a group of individu...
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01/30/2013
Logarithmic Time Parallel Bayesian Inference
I present a parallel algorithm for exact probabilistic inference in Baye...
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01/23/2013
Graphical Representations of Consensus Belief
Graphical models based on conditional independence support concise encod...
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01/10/2013
Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments
Recommender systems leverage product and community information to target...
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12/12/2012
Modelling Information Incorporation in Markets, with Application to Detecting and Explaining Events
We develop a model of how information flows into a market, and derive al...
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02/14/2012