10 citations · 31 across the 6 of their papers we have counts for
6 papers
Conformal Regression in Calorie Prediction for Team Jumbo-Visma
Kristian van Kuijk, Mark Dirksen, Christof Seiler
UCI WorldTour races, the premier men's elite road cycling tour, are grueling events that put physical fitness and endurance of riders to the test. The coaches of Team Jumbo-Visma h…
A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models
Alexander G. Reisach, Myriam Tami, Christof Seiler +2
Additive Noise Models (ANMs) are a common model class for causal discovery from observational data and are often used to generate synthetic data for causal discovery benchmarking.…
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy To Game
Alexander G. Reisach, Christof Seiler, Sebastian Weichwald
Simulated DAG models may exhibit properties that, perhaps inadvertently, render their structure identifiable and unexpectedly affect structure learning algorithms. Here, we show th…
Uncertainty Quantification in Multivariate Mixed Models for Mass Cytometry Data
Christof Seiler, Lisa M. Kronstad, Laura J. Simpson +4
Mass cytometry technology enables the simultaneous measurement of over 40 proteins on single cells. This has helped immunologists to increase their understanding of heterogeneity,…
Curvature and Concentration of Hamiltonian Monte Carlo in High Dimensions
Susan Holmes, Simon Rubinstein-Salzedo, Christof Seiler
In this article, we analyze Hamiltonian Monte Carlo (HMC) by placing it in the setting of Riemannian geometry using the Jacobi metric, so that each step corresponds to a geodesic o…
Discussion of "Geodesic Monte Carlo on Embedded Manifolds"
Simon Byrne, Mark Girolami, Persi Diaconis +9
Contributed discussion and rejoinder to "Geodesic Monte Carlo on Embedded Manifolds" (arXiv:1301.6064)