3 citations · 3 across the 1 of their papers we have counts for
5 papers
Recommender systems inspired by the structure of quantum theory
Cyril Stark
Physicists use quantum models to describe the behavior of physical systems. Quantum models owe their success to their interpretability, to their relation to probabilistic models (q…
Top-N recommendations from expressive recommender systems
Cyril Stark
Normalized nonnegative models assign probability distributions to users and random variables to items; see [Stark, 2015]. Rating an item is regarded as sampling the random variable…
Expressive recommender systems through normalized nonnegative models
Cyril Stark
We introduce normalized nonnegative models (NNM) for explorative data analysis. NNMs are partial convexifications of models from probability theory. We demonstrate their value at t…
Learning optimal quantum models is NP-hard
Cyril Stark
Physical modeling closes the gap between perception in terms of measurements and abstraction in terms of theoretical models. Physical modeling is a major objective in physics and i…
Simultaneous Estimation of Dimension, States and Measurements: Computation of representative density matrices and POVMs
Cyril Stark
This investigation continues a program aiming at obtaining effective quantum models to describe measurement statistics. In [Stark, arXiv:1209.5737 (2012)], we have described how th…