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Found 4 papers, 1 papers with code
The Klarna Product Page Dataset: Web Element Nomination with Graph Neural Networks and Large Language Models
To address this, we introduce the Klarna Product Page Dataset, a comprehensive and diverse collection of webpages that surpasses existing datasets in richness and variety.
Online Learning of Optimally Diverse Rankings
In absence of any contextual information about the query, one often has to adhere to the {\it diversity} principle, i. e., to return a list covering the various possible topics or meanings of the query.
Minimal Exploration in Structured Stochastic Bandits
This paper introduces and addresses a wide class of stochastic bandit problems where the function mapping the arm to the corresponding reward exhibits some known structural properties.
Lipschitz Bandits: Regret Lower Bounds and Optimal Algorithms
For discrete Lipschitz bandits, we derive asymptotic problem specific lower bounds for the regret satisfied by any algorithm, and propose OSLB and CKL-UCB, two algorithms that efficiently exploit the Lipschitz structure of the problem.
