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Found 6 papers, 3 papers with code
Scalable Mechanism Design for Multi-Agent Path Finding
In this work, we introduce the problem of scalable mechanism design for MAPF and propose three strategyproof mechanisms, two of which even use approximate MAPF algorithms.
Machine Learning-Powered Combinatorial Clock Auction
In this paper, we address this shortcoming by designing an ML-powered combinatorial clock auction that elicits information from the bidders only via demand queries (i. e., ``At prices $p$, what is your most preferred bundle of items?'').
Machine Learning-Powered Course Allocation
We study the course allocation problem, where universities assign course schedules to students.
Bayesian Optimization-based Combinatorial Assignment
In this paper, we address this shortcoming by presenting a Bayesian optimization-based combinatorial assignment (BOCA) mechanism.
NOMU: Neural Optimization-based Model Uncertainty
To isolate the effect of model uncertainty, we focus on a noiseless setting with scarce training data.
FedMark: A Marketplace for Federated Data on the Web
The problem is that it is not clear how publishers of commercial data can monetize their data in this new setting.
Databases
