
MonotoneValue Neural Networks: Exploiting Preference Monotonicity in Combinatorial Assignment
Many important resource allocation problems involve the combinatorial as...
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ShapleyBased CoreSelecting Payment Rules
In this research note, we lay some groundwork for analyzing the manipula...
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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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NOMU: Neural Optimizationbased Model Uncertainty
We introduce a new approach for capturing model uncertainty for neural n...
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The Cost of Simple Bidding in Combinatorial Auctions
We study the complexity of bidding optimally in oneshot combinatorial a...
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Machine Learningpowered Iterative Combinatorial Auctions with Interval Bidding
We study the design of iterative combinatorial auctions for domains with...
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Fourier Analysisbased Iterative Combinatorial Auctions
Recent advances in Fourier analysis have brought new tools to efficientl...
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Revenue Maximization for Consumer Software: Subscription or Perpetual License?
We study the revenue maximization problem of a publisher selling consume...
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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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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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Local Sufficiency for Partial Strategyproofness
In (Mennle and Seuken, 2017), we have introduced partial strategyproofne...
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The Competitive Effects of Variancebased Pricing
In many markets, like electricity or cloud computing markets, providers ...
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Machine Learningpowered Iterative Combinatorial Auctions
In this paper, we present a machine learningpowered iterative combinato...
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Monotonic and NonMonotonic Solution Concepts for Generalized Circuits
Generalized circuits are an important tool in the study of the computati...
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Deep Learningpowered Iterative Combinatorial Auctions
In this paper, we study the design of deep learningpowered iterative co...
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Computing BayesNash Equilibria in Combinatorial Auctions with Verification
Combinatorial auctions (CAs) are mechanisms that are widely used in prac...
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Fast Iterative Combinatorial Auctions via Bayesian Learning
Iterative combinatorial auctions (CAs) are often used in multibillion d...
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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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Bayesian Admission Policies for Cloud Computing Clusters
Cloud computing providers must handle customer workloads that wish to sc...
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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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The Computational Complexity of Clearing Financial Networks with Credit Default Swaps
We consider the problem of clearing a system of interconnected banks. Pr...
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Sven Seuken
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