David M. Pennock | DeepAI

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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...

0 Abdulaziz A. Almuzaini, et al. ∙

∙ 09/14/2021

Designing a Combinatorial Financial Options Market

Financial options are contracts that specify the right to buy or sell an...

0 Xintong Wang, et al. ∙

∙ 02/15/2021

Log-time Prediction Markets for Interval Securities

We design a prediction market to recover a complete and fully general pr...

0 Miroslav Dudík, et al. ∙

∙ 01/05/2021

Incentive-Compatible Forecasting Competitions

We initiate the study of incentive-compatible forecasting competitions i...

0 Jens Witkowski, et al. ∙

∙ 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...

0 Mahsa Derakhshan, et al. ∙

∙ 02/20/2020

No-Regret and Incentive-Compatible Online Learning

We study online learning settings in which experts act strategically to ...

0 Rupert Freeman, et al. ∙

∙ 05/01/2019

Truthful Aggregation of Budget Proposals

We consider a participatory budgeting problem in which each voter submit...

0 Rupert Freeman, et al. ∙

∙ 12/14/2016

Crowdsourced Outcome Determination in Prediction Markets

A prediction market is a useful means of aggregating information about a...

0 Rupert Freeman, et al. ∙

∙ 02/24/2016

The Possibilities and Limitations of Private Prediction Markets

We consider the design of private prediction markets, financial markets ...

0 Rachel Cummings, et al. ∙

∙ 10/07/2015

Budget Constraints in Prediction Markets

We give a detailed characterization of optimal trades under budget const...

0 Nikhil Devanur, et al. ∙

∙ 02/13/2013

Toward a Market Model for Bayesian Inference

We present a methodology for representing probabilistic relationships in...

0 David M. Pennock, et al. ∙

∙ 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...

0 David M. Pennock, et al. ∙

∙ 01/30/2013

Logarithmic Time Parallel Bayesian Inference

I present a parallel algorithm for exact probabilistic inference in Baye...

0 David M. Pennock, et al. ∙

∙ 01/23/2013

Graphical Representations of Consensus Belief

Graphical models based on conditional independence support concise encod...

0 David M. Pennock, et al. ∙

∙ 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...

0 Alexandrin Popescul, et al. ∙

∙ 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...

0 David M. Pennock, et al. ∙

∙ 02/14/2012

Price Updating in Combinatorial Prediction Markets with Bayesian Networks

To overcome the #P-hardness of computing/updating prices in logarithm ma...

0 David M. Pennock, et al. ∙

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