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06/07/2023
Self-Resolving Prediction Markets for Unverifiable Outcomes
Prediction markets elicit and aggregate beliefs by paying agents based o...
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02/16/2023
Equilibrium and Learning in Fixed-Price Data Markets with Externality
We propose modeling real-world data markets, where sellers post fixed pr...
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02/07/2023
Persuading a Behavioral Agent: Approximately Best Responding and Learning
The classic Bayesian persuasion model assumes a Bayesian and best-respon...
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11/02/2022
Can laypeople predict the replicability of social science studies without expert intervention: an exploratory study
The low replication rate of published studies has long concerned the soc...
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09/27/2022
Learning When to Advise Human Decision Makers
Artificial intelligence (AI) systems are increasingly used for providing...
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08/08/2022
Peer Prediction for Learning Agents
Peer prediction refers to a collection of mechanisms for eliciting infor...
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07/26/2022
The Sample Complexity of Forecast Aggregation
We consider a Bayesian forecast aggregation model where n experts, after...
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07/15/2021
Optimal Scoring Rule Design
This paper introduces an optimization problem for proper scoring rule de...
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06/06/2021
The Limits of Multi-task Peer Prediction
Recent advances in multi-task peer prediction have greatly expanded our ...
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05/18/2021
Cooperation in Threshold Public Projects with Binary Actions
When can cooperation arise from self-interested decisions in public good...
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04/02/2021
Cursed yet Satisfied Agents
In real life auctions, a widely observed phenomenon is the winner's curs...
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12/15/2020
Modernizing Data Control: Making Personal Digital Data Mutually Beneficial for Citizens and Industry
We are entering a new "data everywhere-anytime" era that pivots us from ...
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12/09/2020
Algorithmic risk assessments can alter human decision-making processes in high-stakes government contexts
Governments are increasingly turning to algorithmic risk assessments whe...
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09/08/2020
Computing Equilibria of Prediction Markets via Persuasion
We study the computation of equilibria in prediction markets in perhaps ...
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07/07/2020
Mathematical Foundations for Social Computing
Social computing encompasses the mechanisms through which people interac...
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06/06/2020
Truthful Data Acquisition via Peer Prediction
We consider the problem of purchasing data for machine learning or stati...
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05/10/2020
Replication Markets: Results, Lessons, Challenges and Opportunities in AI Replication
The last decade saw the emergence of systematic large-scale replication ...
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02/24/2020
Optimal Advertising for Information Products
When selling information, sometimes the seller can increase the revenue ...
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02/18/2020
Strategyproof Facility Location Mechanisms with Richer Action Spaces
We study facility location problems where agents control multiple locati...
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11/10/2019
Grinding the Space: Learning to Classify Against Strategic Agents
We study the problem of online learning in strategic classification sett...
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10/09/2019
Forecast Aggregation via Peer Prediction
Crowdsourcing is a popular paradigm for soliciting forecasts on future e...
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07/09/2019
Selling Information Through Consulting
We consider a monopoly information holder selling information to a budge...
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05/01/2019
Fair Classification and Social Welfare
Now that machine learning algorithms lie at the center of many resource ...
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03/12/2019
Neyman-Pearson Criterion (NPC): A Model Selection Criterion for Asymmetric Binary Classification
We propose a new model selection criterion, the Neyman-Pearson criterion...
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11/30/2018
Prior-free Data Acquisition for Accurate Statistical Estimation
We study a data analyst's problem of acquiring data from self-interested...
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09/11/2018
Randomized Wagering Mechanisms
Wagering mechanisms are one-shot betting mechanisms that elicit agents' ...
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07/03/2018
Welfare and Distributional Impacts of Fair Classification
Current methodologies in machine learning analyze the effects of various...
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05/27/2018
Strategyproof Linear Regression in High Dimensions
This paper is part of an emerging line of work at the intersection of ma...
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02/26/2018
Surrogate Scoring Rules and a Dominant Truth Serum for Information Elicitation
We study information elicitation without verification (IEWV) and ask the...
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11/30/2017
A Short-term Intervention for Long-term Fairness in the Labor Market
The persistence of racial inequality in the U.S. labor market against a ...
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11/03/2017
Optimal Data Acquisition for Statistical Estimation
We consider a data analyst's problem of purchasing data from strategic a...
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02/20/2015
Low-Cost Learning via Active Data Procurement
We design mechanisms for online procurement of data held by strategic ag...
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02/26/2010