David C. Parkes

research

∙ 09/15/2023

Platform Equilibrium: Analayzing Social Welfare in Online Market Places

We introduce the theoretical study of a Platform Equilibrium. There are ...

0 Alon Eden, et al. ∙

research

∙ 09/15/2023

Chain-of-Thought Reasoning is a Policy Improvement Operator

Large language models have astounded the world with fascinating new capa...

0 Hugh Zhang, et al. ∙

research

∙ 09/03/2023

Generative Social Choice

Traditionally, social choice theory has only been applicable to choices ...

0 Sara Fish, et al. ∙

research

∙ 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...

0 Manuel Wüthrich, et al. ∙

research

∙ 02/13/2023

Generative Adversarial Equilibrium Solvers

We introduce the use of generative adversarial learning to compute equil...

0 Denizalp Goktas, et al. ∙

research

∙ 11/08/2022

Reinforcement Learning with Stepwise Fairness Constraints

AI methods are used in societally important settings, ranging from credi...

4 Zhun Deng, et al. ∙

research

∙ 10/19/2022

Oracles Followers: Stackelberg Equilibria in Deep Multi-Agent Reinforcement Learning

Stackelberg equilibria arise naturally in a range of popular learning pr...

0 Matthias Gerstgrasser, et al. ∙

research

∙ 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...

0 Gianluca Brero, et al. ∙

research

∙ 09/30/2022

Credible Decentralized Exchange Design via Verifiable Sequencing Rules

Trading on decentralized exchanges has been one of the primary use cases...

0 Matheus V. X. Ferreira, et al. ∙

research

∙ 09/24/2022

Explainable Reinforcement Learning via Model Transforms

Understanding emerging behaviors of reinforcement learning (RL) agents m...

1 Mira Finkelstein, et al. ∙

research

∙ 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...

0 Yaniv Yacoby, et al. ∙

research

∙ 06/02/2022

Predictive Multiplicity in Probabilistic Classification

For a prediction task, there may exist multiple models that perform almo...

0 Jamelle Watson-Daniels, et al. ∙

research

∙ 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 ...

0 Zhou Fan, et al. ∙

research

∙ 03/25/2022

Using Reinforcement Learning to Study Platform Economies under Market Shocks

Driven by rapid digitization and expansive internet access, market-drive...

0 Xintong Wang, et al. ∙

research

∙ 02/15/2022

Learning to Mitigate AI Collusion on Economic Platforms

Algorithmic pricing on online e-commerce platforms raises the concern of...

0 Gianluca Brero, et al. ∙

research

∙ 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...

0 Stephan Zheng, et al. ∙

research

∙ 07/07/2021

Deep Learning for Two-Sided Matching

We initiate the use of a multi-layer neural network to model two-sided m...

0 Sai Srivatsa Ravindranath, et al. ∙

research

∙ 06/22/2021

Strategic Liquidity Provision in Uniswap v3

Uniswap is the largest decentralized exchange for digital currencies. Th...

0 Michael Neuder, et al. ∙

research

∙ 03/25/2021

Dynamic Posted-Price Mechanisms for the Blockchain Transaction-Fee Market

In recent years, prominent blockchain systems such as Bitcoin and Ethere...

0 Matheus V. X. Ferreira, et al. ∙

research

∙ 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 ...

0 Michael Neuder, et al. ∙

research

∙ 10/02/2020

Reinforcement Learning of Simple Indirect Mechanisms

We introduce the use of reinforcement learning for indirect mechanisms, ...

0 Gianluca Brero, et al. ∙

research

∙ 09/26/2020

Decision-Aware Conditional GANs for Time Series Data

We introduce the decision-aware time-series conditional generative adver...

7 He Sun, et al. ∙

research

∙ 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 ...

0 Michael Neuder, et al. ∙

research

∙ 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...

0 Vincent Conitzer, et al. ∙

research

∙ 06/20/2020

From Predictions to Decisions: Using Lookahead Regularization

Machine learning is a powerful tool for predicting human-related outcome...

0 Nir Rosenfeld, et al. ∙

research

∙ 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...

7 Stephan Zheng, et al. ∙

research

∙ 03/26/2020

Too many cooks: Coordinating multi-agent collaboration through inverse planning

Collaboration requires agents to coordinate their behavior on the fly, s...

11 Rose E. Wang, et al. ∙

research

∙ 03/26/2020

Too many cooks: Bayesian inference for coordinating multi-agent collaboration

Collaboration requires agents to coordinate their behavior on the fly, s...

0 Rose E. Wang, et al. ∙

research

∙ 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 ...

0 Daniel J. Moroz, et al. ∙

research

∙ 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...

0 Aron Szanto, et al. ∙

research

∙ 12/06/2019

Selfish Behavior in the Tezos Proof-of-Stake Protocol

Proof-of-Stake consensus protocols give rise to complex modeling challen...

0 Michael Neuder, et al. ∙

research

∙ 09/11/2019

Algorithmic and Economic Perspectives on Fairness

Algorithmic systems have been used to inform consequential decisions for...

0 David C. Parkes, et al. ∙

research

∙ 06/24/2019

Penalty Bidding Mechanisms for Allocating Resources and Overcoming Present Bias

From skipped exercise classes to last-minute cancellation of dentist app...

0 Hongyao Ma, et al. ∙

research

∙ 06/05/2019

Finding Friend and Foe in Multi-Agent Games

Recent breakthroughs in AI for multi-agent games like Go, Poker, and Dot...

3 Jack Serrino, et al. ∙

research

∙ 06/04/2019

The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation

We study the behavior of stochastic bandits algorithms under strategic b...

0 Zhe Feng, et al. ∙

research

∙ 05/30/2019

Ridesharing with Driver Location Preferences

We study revenue-optimal pricing and driver compensation in ridesharing ...

0 Duncan Rheingans-Yoo, et al. ∙

research

∙ 05/29/2019

Learning Representations by Humans, for Humans

We propose a new, complementary approach to interpretability, in which m...

0 Sophie Hilgard, et al. ∙

research

∙ 01/16/2019

Artificial Intelligence for Social Good

The Computing Community Consortium (CCC), along with the White House Off...

0 Gregory D. Hager, et al. ∙

research

∙ 06/04/2018

Mechanism Design without Money for Common Goods

We initiate the study of mechanism design without money for common goods...

0 Haris Aziz, et al. ∙

research

∙ 04/06/2018

Social Choice with Non Quasi-linear Utilities

Without monetary payments, the Gibbard-Satterthwaite theorem proves that...

0 Hongyao Ma, et al. ∙

research

∙ 03/07/2018

Optimizing cluster-based randomized experiments under a monotonicity assumption

Cluster-based randomized experiments are popular designs for mitigating ...

0 Jean Pouget-Abadie, et al. ∙

research

∙ 01/11/2018

Spatio-Temporal Pricing for Ridesharing Platforms

Ridesharing platforms match drivers and riders to trips, using dynamic p...

0 Hongyao Ma, et al. ∙

research

∙ 06/12/2017

Optimal Auctions through Deep Learning

Designing an auction that maximizes expected revenue is an intricate tas...

0 Paul Dütting, et al. ∙

research

∙ 10/29/2014

A Statistical Decision-Theoretic Framework for Social Choice

In this paper, we take a statistical decision-theoretic viewpoint on soc...

0 Hossein Azari Soufiani, et al. ∙

research

∙ 11/11/2012

Random Utility Theory for Social Choice

Random utility theory models an agent's preferences on alternatives by d...

0 Hossein Azari Soufiani, et al. ∙

research

∙ 08/06/2012

Payment Rules through Discriminant-Based Classifiers

In mechanism design it is typical to impose incentive compatibility and ...

0 Paul Duetting, et al. ∙

research

∙ 06/13/2012

Learning and Solving Many-Player Games through a Cluster-Based Representation

In addressing the challenge of exponential scaling with the number of ag...

0 Sevan G. Ficici, et al. ∙

David C. Parkes

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