49 citations · 51 across the 6 of their papers we have counts for
10 papers
Learning Rules for Materials Properties and Functions
Mario Boley, Matthias Scheffler
In materials science and engineering, one is typically searching for materials that exhibit exceptional performance for a certain function, and the number of these materials is ext…
Better Short than Greedy: Interpretable Models through Optimal Rule Boosting
Mario Boley, Simon Teshuva, Pierre Le Bodic +1
Rule ensembles are designed to provide a useful trade-off between predictive accuracy and model interpretability. However, the myopic and random search components of current rule e…
Discovering Reliable Causal Rules
Kailash Budhathoki, Mario Boley, Jilles Vreeken
We study the problem of deriving policies, or rules, that when enacted on a complex system, cause a desired outcome. Absent the ability to perform controlled experiments, such rule…
Communication-Efficient Distributed Online Learning with Kernels
Michael Kamp, Sebastian Bothe, Mario Boley +1
We propose an efficient distributed online learning protocol for low-latency real-time services. It extends a previously presented protocol to kernelized online learners that repre…
Adaptive Communication Bounds for Distributed Online Learning
Michael Kamp, Mario Boley, Michael Mock +3
We consider distributed online learning protocols that control the exchange of information between local learners in a round-based learning scenario. The learning performance of su…
Discovering Reliable Correlations in Categorical Data
Panagiotis Mandros, Mario Boley, Jilles Vreeken
In many scientific tasks we are interested in discovering whether there exist any correlations in our data. This raises many questions, such as how to reliably and interpretably me…