2 citations · 2 across the 4 of their papers we have counts for
4 papers
Generalizability of experimental studies
Federico Matteucci, Vadim Arzamasov, Jose Cribeiro-Ramallo +3
Experimental studies are a cornerstone of Machine Learning (ML) research. A common and often implicit assumption is that the study's results will generalize beyond the study itself…
Adaptive Bernstein Change Detector for High-Dimensional Data Streams
Marco Heyden, Edouard Fouché, Vadim Arzamasov +3
Change detection is of fundamental importance when analyzing data streams. Detecting changes both quickly and accurately enables monitoring and prediction systems to react, e.g., b…
Budgeted Multi-Armed Bandits with Asymmetric Confidence Intervals
Marco Heyden, Vadim Arzamasov, Edouard Fouché +1
We study the stochastic Budgeted Multi-Armed Bandit (MAB) problem, where a player chooses from arms with unknown expected rewards and costs. The goal is to maximize the total r…
Maximum Mean Discrepancy on Exponential Windows for Online Change Detection
Florian Kalinke, Marco Heyden, Georg Gntuni +2
Detecting changes is of fundamental importance when analyzing data streams and has many applications, e.g., in predictive maintenance, fraud detection, or medicine. A principled ap…