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08/20/2023
Machine Learning-powered Combinatorial Clock Auction
We study the design of iterative combinatorial auctions (ICAs). The main...
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10/03/2022
Machine Learning-powered Course Allocation
We introduce a machine learning-powered course allocation mechanism. Con...
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08/31/2022
Bayesian Optimization-based Combinatorial Assignment
We study the combinatorial assignment domain, which includes combinatori...
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06/07/2022
Non-decreasing Payment Rules for Combinatorial Auctions
Combinatorial auctions are used to allocate resources in domains where b...
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03/30/2022
Enabling Trade-offs in Machine Learning-based Matching for Refugee Resettlement
The Swiss State Secretariat for Migration recently announced a pilot pro...
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10/26/2021
Market Design for Drone Traffic Management
The rapid development of drone technology is leading to more and more us...
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09/30/2021
Monotone-Value Neural Networks: Exploiting Preference Monotonicity in Combinatorial Assignment
Many important resource allocation problems involve the combinatorial as...
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07/02/2021
Shapley-Based Core-Selecting Payment Rules
In this research note, we lay some groundwork for analyzing the manipula...
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03/18/2021
Search and Matching for Adoption from Foster Care
More than 100,000 children in the US foster care system are currently wa...
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02/26/2021
NOMU: Neural Optimization-based Model Uncertainty
We introduce a new approach for capturing model uncertainty for neural n...
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11/24/2020
The Cost of Simple Bidding in Combinatorial Auctions
We study the complexity of bidding optimally in one-shot combinatorial a...
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09/28/2020
Machine Learning-powered Iterative Combinatorial Auctions with Interval Bidding
We study the design of iterative combinatorial auctions for domains with...
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09/22/2020
Fourier Analysis-based Iterative Combinatorial Auctions
Recent advances in Fourier analysis have brought new tools to efficientl...
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07/22/2020
Revenue Maximization for Consumer Software: Subscription or Perpetual License?
We study the revenue maximization problem of a publisher selling consume...
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07/14/2020
An Axiomatic Decomposition of Strategyproofness for Ordinal Mechanism with Indifferences
We study mechanism which operate on ordinal preference information (i.e....
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07/14/2020
Two New Impossibility Results for the Random Assignment Problem
In this note, we prove two new impossibility results for random assignme...
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07/14/2020
Local Sufficiency for Partial Strategyproofness
In (Mennle and Seuken, 2017), we have introduced partial strategyproofne...
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01/31/2020
The Competitive Effects of Variance-based Pricing
In many markets, like electricity or cloud computing markets, providers ...
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11/19/2019
Machine Learning-powered Iterative Combinatorial Auctions
In this paper, we present a machine learning-powered iterative combinato...
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07/30/2019
Monotonic and Non-Monotonic Solution Concepts for Generalized Circuits
Generalized circuits are an important tool in the study of the computati...
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07/12/2019
Deep Learning-powered Iterative Combinatorial Auctions
In this paper, we study the design of deep learning-powered iterative co...
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12/05/2018
Computing Bayes-Nash Equilibria in Combinatorial Auctions with Verification
Combinatorial auctions (CAs) are mechanisms that are widely used in prac...
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09/14/2018
Fast Iterative Combinatorial Auctions via Bayesian Learning
Iterative combinatorial auctions (CAs) are often used in multi-billion d...
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08/20/2018
FedMark: A Marketplace for Federated Data on the Web
The Web of Data (WoD) has experienced a phenomenal growth in the past. T...
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04/20/2018
Bayesian Admission Policies for Cloud Computing Clusters
Cloud computing providers must handle customer workloads that wish to sc...
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04/20/2018
The Power of Machine Learning and Market Design for Cloud Computing Admission Control
Cloud computing providers must handle customer workloads that wish to sc...
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10/04/2017
