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Mirko Giacchini

2 accepted papers

2024

Tight Bounds for Learning RUMs from Small Slates

NeurIPS 2024poster

A Random Utility Model (RUM) is a classical model of user behavior defined by a distribution over $\mathbb{R}^n$. A user, presented with a subset of $\\{1,\ldots,n\\}$, will select the item of the subset with the highest utility, according to a utility vector drawn from the specified distribution. I…

Cited by 0SourcePDFScholar
2023

Approximating a RUM from Distributions on $k$-Slates

AISTATS 2023poster

In this work we consider the problem of fitting Random Utility Models (RUMs) to user choices. Given the winner distributions of the subsets of size $k$ of a universe, we obtain a polynomial-time algorithm that finds the RUM that best approximates the given distribution on average. Our algorithm is b…