
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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Revenue Maximization for Buyers with Outside Options
We study mechanisms for selling a single item when buyers have private v...
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Designing Approximately Optimal Search on Matching Platforms
We study the design of a decentralized twosided matching market in whic...
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Buying Data Over Time: Approximately Optimal Strategies for Dynamic DataDriven Decisions
We consider a model where an agent has a repeated decision to make and w...
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Nonquasilinear Agents in Quasilinear Mechanisms
Mechanisms with money are commonly designed under the assumption that ag...
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Dynamic Weighted Matching with Heterogeneous Arrival and Departure Rates
We study a dynamic nonbipartite matching problem. There is a fixed set ...
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Maximizing Welfare with IncentiveAware Evaluation Mechanisms
Motivated by applications such as college admission and insurance rate d...
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Prophet Inequalities with Linear Correlations and Augmentations
In a classical online decision problem, a decisionmaker who is trying t...
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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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Asynchronous Majority Dynamics in Preferential Attachment Trees
We study information aggregation in networks where agents make binary de...
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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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Bayesian Exploration with Heterogeneous Agents
It is common in recommendation systems that users both consume and produ...
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Adversarial Bandits with Knapsacks
We consider Bandits with Knapsacks (henceforth, BwK), a general model fo...
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Incentivizing Exploration with Unbiased Histories
In a social learning setting, there is a set of actions, each of which h...
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Access to PopulationLevel Signaling as a Source of Inequality
We identify and explore differential access to populationlevel signalin...
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The Disparate Effects of Strategic Manipulation
When consequential decisions are informed by algorithmic input, individu...
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The Disparate Effects of Strategic Classification
When consequential decisions are informed by algorithmic input, individu...
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Unleashing Linear Optimizers for GroupFair Learning and Optimization
Most systems and learning algorithms optimize average performance or ave...
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When optimizing nonlinear objectives is no harder than linear objectives
Most systems and learning algorithms optimize average performance or ave...
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The Importance of Communities for Learning to Influence
We consider the canonical problem of influence maximization in social ne...
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Combinatorial Assortment Optimization
Assortment optimization refers to the problem of designing a slate of pr...
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Optimal Data Acquisition for Statistical Estimation
We consider a data analyst's problem of purchasing data from strategic a...
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Nicole Immorlica
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