79 citations · 261 across the 26 of their papers we have counts for
4 papers · 1 filter
ABC of the Future
Henri Pesonen, Umberto Simola, Alvaro Köhn-Luque +8
Approximate Bayesian computation (ABC) has advanced in two decades from a seminal idea to a practically applicable inference tool for simulator-based statistical models, which are…
FINN.no Slates Dataset: A new Sequential Dataset Logging Interactions, allViewed Items and Click Responses/No-Click for Recommender Systems Research
Simen Eide, Arnoldo Frigessi, Helge Jenssen +3
We present a novel recommender systems dataset that records the sequential interactions between users and an online marketplace. The users are sequentially presented with both reco…
A scalable solver for a stochastic, hybrid cellular automaton model of personalized breast cancer therapy
Xiaoran Lai, Håkon A. Taskén, Torgeir Mo +4
Mathematical modeling and simulation is a promising approach to personalized cancer medicine. Yet, the complexity, heterogeneity and multi-scale nature of cancer pose significant c…
Dynamic Slate Recommendation with Gated Recurrent Units and Thompson Sampling
Simen Eide, David S. Leslie, Arnoldo Frigessi
We consider the problem of recommending relevant content to users of an internet platform in the form of lists of items, called slates. We introduce a variational Bayesian Recurren…