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01/31/2023
Certification Design for a Competitive Market
Motivated by applications such as voluntary carbon markets and education...
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05/26/2022
Communicating with Anecdotes
We study a communication game between a sender and receiver where the se...
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07/13/2021
On the Impact of Information Acquisition and Aftermarkets on Auction Efficiency
A common assumption in auction theory is that the information available ...
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03/05/2021
Revenue Maximization for Buyers with Outside Options
We study mechanisms for selling a single item when buyers have private v...
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02/17/2021
Designing Approximately Optimal Search on Matching Platforms
We study the design of a decentralized two-sided matching market in whic...
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01/18/2021
Buying Data Over Time: Approximately Optimal Strategies for Dynamic Data-Driven Decisions
We consider a model where an agent has a repeated decision to make and w...
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12/04/2020
Non-quasi-linear Agents in Quasi-linear Mechanisms
Mechanisms with money are commonly designed under the assumption that ag...
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12/01/2020
Dynamic Weighted Matching with Heterogeneous Arrival and Departure Rates
We study a dynamic non-bipartite matching problem. There is a fixed set ...
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11/03/2020
Maximizing Welfare with Incentive-Aware Evaluation Mechanisms
Motivated by applications such as college admission and insurance rate d...
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01/28/2020
Prophet Inequalities with Linear Correlations and Augmentations
In a classical online decision problem, a decision-maker who is trying t...
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12/13/2019
Reducing Inefficiency in Carbon Auctions with Imperfect Competition
We study auctions for carbon licenses, a policy tool used to control the...
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07/12/2019
Asynchronous Majority Dynamics in Preferential Attachment Trees
We study information aggregation in networks where agents make binary de...
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05/13/2019
Diversity and Exploration in Social Learning
In consumer search, there is a set of items. An agent has a prior over h...
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02/19/2019
Bayesian Exploration with Heterogeneous Agents
It is common in recommendation systems that users both consume and produ...
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11/28/2018
Adversarial Bandits with Knapsacks
We consider Bandits with Knapsacks (henceforth, BwK), a general model fo...
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11/14/2018
Incentivizing Exploration with Unbiased Histories
In a social learning setting, there is a set of actions, each of which h...
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09/12/2018
Access to Population-Level Signaling as a Source of Inequality
We identify and explore differential access to population-level signalin...
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08/27/2018
The Disparate Effects of Strategic Manipulation
When consequential decisions are informed by algorithmic input, individu...
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08/27/2018
The Disparate Effects of Strategic Classification
When consequential decisions are informed by algorithmic input, individu...
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04/11/2018
Unleashing Linear Optimizers for Group-Fair Learning and Optimization
Most systems and learning algorithms optimize average performance or ave...
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04/11/2018
When optimizing nonlinear objectives is no harder than linear objectives
Most systems and learning algorithms optimize average performance or ave...
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01/23/2018
The Importance of Communities for Learning to Influence
We consider the canonical problem of influence maximization in social ne...
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11/07/2017
Combinatorial Assortment Optimization
Assortment optimization refers to the problem of designing a slate of pr...
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11/03/2017
