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05/11/2023
Fair Price Discrimination
A seller is pricing identical copies of a good to a stream of unit-deman...
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02/17/2023
Robust Pseudo-Markets for Reusable Public Resources
We study non-monetary mechanisms for the fair and efficient allocation o...
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12/29/2022
Graph Searching with Predictions
Consider an agent exploring an unknown graph in search of some goal stat...
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10/11/2022
Online Team Formation under Different Synergies
Team formation is ubiquitous in many sectors: education, labor markets, ...
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09/30/2022
Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in Bandits
While standard bandit algorithms sometimes incur high regret, their perf...
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09/30/2022
Proportionally Fair Online Allocation of Public Goods with Predictions
We design online algorithms for the fair allocation of public goods to a...
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05/26/2022
Dynamic Interventions for Networked Contagions
We study the problem of designing dynamic intervention policies for mini...
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04/27/2022
Fair and Efficient Allocation with Quotas
In many settings, such as the rationing of medical care and supplies, un...
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10/29/2021
Adaptive Discretization in Online Reinforcement Learning
Discretization based approaches to solving online reinforcement learning...
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10/21/2021
Threshold Tests as Quality Signals: Optimal Strategies, Equilibria, and Price of Anarchy
We study a signaling game between two firms competing to have their prod...
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05/11/2021
Sequential Fair Allocation: Achieving the Optimal Envy-Efficiency Tradeoff Curve
We consider the problem of dividing limited resources to individuals arr...
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02/15/2021
Multimodal Mobility Systems: Joint Optimization of Transit Network Design and Pricing
The performance of multimodal mobility systems relies on the seamless in...
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01/05/2021
Explainable AI for Robot Failures: Generating Explanations that Improve User Assistance in Fault Recovery
With the growing capabilities of intelligent systems, the integration of...
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11/29/2020
Sequential Fair Allocation of Limited Resources under Stochastic Demands
We consider the problem of dividing limited resources between a set of a...
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11/18/2020
Explainable AI for System Failures: Generating Explanations that Improve Human Assistance in Fault Recovery
With the growing capabilities of intelligent systems, the integration of...
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09/24/2020
The Limits of an Information Intermediary in Auction Design
We study the limits of an information intermediary in Bayesian auctions....
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08/08/2020
Online Nash Social Welfare via Promised Utilities
We consider the problem of allocating a set of divisible goods to N agen...
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07/01/2020
Adaptive Discretization for Model-Based Reinforcement Learning
We introduce the technique of adaptive discretization to design efficien...
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01/28/2020
Taking Recoveries to Task: Recovery-Driven Development for Recipe-based Robot Tasks
Robot task execution when situated in real-world environments is fragile...
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01/19/2020
Predict and Match: Prophet Inequalities with Uncertain Supply
We consider the problem of selling perishable items to a stream of buyer...
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10/17/2019
Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces
We present an efficient algorithm for model-free episodic reinforcement ...
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06/14/2019
Online Allocation and Pricing: Constant Regret via Bellman Inequalities
We develop a framework for designing tractable heuristics for Markov Dec...
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01/15/2019
The Bayesian Prophet: A Low-Regret Framework for Online Decision Making
Motivated by the success of using black-box predictive algorithms as sub...
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09/04/2018
Information Signal Design for Incentivizing Team Formation
We study the use of Bayesian persuasion (i.e., strategic use of informat...
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04/17/2018
Effects of Interruptibility-Aware Robot Behavior
As robots become increasingly prevalent in human environments, there wil...
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11/30/2017
Two-sided Facility Location
Recent years have witnessed the rise of many successful e-commerce marke...
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10/05/2016
Summarizing Situational and Topical Information During Crises
The use of microblogging platforms such as Twitter during crises has bec...
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02/23/2016
Unbounded Human Learning: Optimal Scheduling for Spaced Repetition
In the study of human learning, there is broad evidence that our ability...
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02/08/2012
