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09/15/2023
Platform Equilibrium: Analayzing Social Welfare in Online Market Places
We introduce the theoretical study of a Platform Equilibrium. There are ...
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09/15/2023
Chain-of-Thought Reasoning is a Policy Improvement Operator
Large language models have astounded the world with fascinating new capa...
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09/03/2023
Generative Social Choice
Traditionally, social choice theory has only been applicable to choices ...
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02/27/2023
Eliciting Information from participants with Competing Incentives and Dependent Beliefs
In this paper, we study belief elicitation about an uncertain future eve...
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02/13/2023
Generative Adversarial Equilibrium Solvers
We introduce the use of generative adversarial learning to compute equil...
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11/08/2022
Reinforcement Learning with Stepwise Fairness Constraints
AI methods are used in societally important settings, ranging from credi...
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10/19/2022
Oracles Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning
Stackelberg equilibria arise naturally in a range of popular learning pr...
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10/07/2022
Learning Stackelberg Equilibria and Applications to Economic Design Games
We study the use of reinforcement learning to learn the optimal leader's...
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09/30/2022
Credible Decentralized Exchange Design via Verifiable Sequencing Rules
Trading on decentralized exchanges has been one of the primary use cases...
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09/24/2022
Explainable Reinforcement Learning via Model Transforms
Understanding emerging behaviors of reinforcement learning (RL) agents m...
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08/23/2022
Empowering First-Year Computer Science Ph.D. Students to Create a Culture that Values Community and Mental Health
Doctoral programs often have high rates of depression, anxiety, isolatio...
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06/02/2022
Predictive Multiplicity in Probabilistic Classification
For a prediction task, there may exist multiple models that perform almo...
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04/01/2022
Differential Liquidity Provision in Uniswap v3 and Implications for Contract Design
Decentralized exchanges (DEXs) provide a means for users to trade pairs ...
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03/25/2022
Using Reinforcement Learning to Study Platform Economies under Market Shocks
Driven by rapid digitization and expansive internet access, market-drive...
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02/15/2022
Learning to Mitigate AI Collusion on Economic Platforms
Algorithmic pricing on online e-commerce platforms raises the concern of...
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08/05/2021
The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning
AI and reinforcement learning (RL) have improved many areas, but are not...
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07/07/2021
Deep Learning for Two-Sided Matching
We initiate the use of a multi-layer neural network to model two-sided m...
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06/22/2021
Strategic Liquidity Provision in Uniswap v3
Uniswap is the largest decentralized exchange for digital currencies. Th...
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03/25/2021
Dynamic Posted-Price Mechanisms for the Blockchain Transaction-Fee Market
In recent years, prominent blockchain systems such as Bitcoin and Ethere...
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02/03/2021
Low-cost attacks on Ethereum 2.0 by sub-1/3 stakeholders
We outline two dishonest strategies that can be cheaply executed on the ...
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10/02/2020
Reinforcement Learning of Simple Indirect Mechanisms
We introduce the use of reinforcement learning for indirect mechanisms, ...
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09/26/2020
Decision-Aware Conditional GANs for Time Series Data
We introduce the decision-aware time-series conditional generative adver...
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09/11/2020
Defending Against Malicious Reorgs in Tezos Proof-of-Stake
Blockchains are intended to be immutable, so an attacker who is able to ...
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07/19/2020
Welfare-Preserving ε-BIC to BIC Transformation with Negligible Revenue Loss
In this paper, we investigate the problem of transforming an ε-BIC mecha...
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06/20/2020
From Predictions to Decisions: Using Lookahead Regularization
Machine learning is a powerful tool for predicting human-related outcome...
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04/28/2020
The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies
Tackling real-world socio-economic challenges requires designing and tes...
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03/26/2020
Too many cooks: Coordinating multi-agent collaboration through inverse planning
Collaboration requires agents to coordinate their behavior on the fly, s...
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03/26/2020
Too many cooks: Bayesian inference for coordinating multi-agent collaboration
Collaboration requires agents to coordinate their behavior on the fly, s...
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02/25/2020
Double-Spend Counterattacks: Threat of Retaliation in Proof-of-Work Systems
Proof-of-Work mining is intended to provide blockchains with robustness ...
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01/28/2020
A Kernel of Truth: Determining Rumor Veracity on Twitter by Diffusion Pattern Alone
Recent work in the domain of misinformation detection has leveraged rich...
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12/06/2019
Selfish Behavior in the Tezos Proof-of-Stake Protocol
Proof-of-Stake consensus protocols give rise to complex modeling challen...
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09/11/2019
Algorithmic and Economic Perspectives on Fairness
Algorithmic systems have been used to inform consequential decisions for...
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06/24/2019
Penalty Bidding Mechanisms for Allocating Resources and Overcoming Present Bias
From skipped exercise classes to last-minute cancellation of dentist app...
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06/05/2019
Finding Friend and Foe in Multi-Agent Games
Recent breakthroughs in AI for multi-agent games like Go, Poker, and Dot...
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06/04/2019
The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation
We study the behavior of stochastic bandits algorithms under strategic b...
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05/30/2019
Ridesharing with Driver Location Preferences
We study revenue-optimal pricing and driver compensation in ridesharing ...
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05/29/2019
Learning Representations by Humans, for Humans
We propose a new, complementary approach to interpretability, in which m...
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01/16/2019
Artificial Intelligence for Social Good
The Computing Community Consortium (CCC), along with the White House Off...
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06/04/2018
Mechanism Design without Money for Common Goods
We initiate the study of mechanism design without money for common goods...
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04/06/2018
Social Choice with Non Quasi-linear Utilities
Without monetary payments, the Gibbard-Satterthwaite theorem proves that...
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03/07/2018
Optimizing cluster-based randomized experiments under a monotonicity assumption
Cluster-based randomized experiments are popular designs for mitigating ...
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01/11/2018
Spatio-Temporal Pricing for Ridesharing Platforms
Ridesharing platforms match drivers and riders to trips, using dynamic p...
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06/12/2017
Optimal Auctions through Deep Learning
Designing an auction that maximizes expected revenue is an intricate tas...
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10/29/2014
A Statistical Decision-Theoretic Framework for Social Choice
In this paper, we take a statistical decision-theoretic viewpoint on soc...
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11/11/2012
Random Utility Theory for Social Choice
Random utility theory models an agent's preferences on alternatives by d...
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08/06/2012
Payment Rules through Discriminant-Based Classifiers
In mechanism design it is typical to impose incentive compatibility and ...
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06/13/2012
