79 citations · 114 across the 10 of their papers we have counts for
11 papers
gridcp: Fast Online Changepoint Detection in Python
Per August Jarval Moen, Sebastian Grau Nielsen, Espen Bjørge Urheim +2
Online changepoint detection is the problem of detecting distributional changes in a data stream in real-time. A large body of methodology exists for the offline (fixed-size) setti…
Nonparametric density estimation with a parametric start
Nils Lid Hjort, Ingrid Kristine Glad
The traditional kernel density estimator of an unknown density is by construction completely nonparametric, in the sense that it has no preferences and will work reasonably well fo…
Efficient sparsity adaptive changepoint estimation
Per August Jarval Moen, Ingrid Kristine Glad, Martin Tveten
We propose a new, computationally efficient, sparsity adaptive changepoint estimator for detecting changes in unknown subsets of a high-dimensional data sequence. Assuming the data…
A Comparative Study of Methods for Estimating Conditional Shapley Values and When to Use Them
Lars Henry Berge Olsen, Ingrid Kristine Glad, Martin Jullum +1
Shapley values originated in cooperative game theory but are extensively used today as a model-agnostic explanation framework to explain predictions made by complex machine learnin…
Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features
Lars Henry Berge Olsen, Ingrid Kristine Glad, Martin Jullum +1
Shapley values are today extensively used as a model-agnostic explanation framework to explain complex predictive machine learning models. Shapley values have desirable theoretical…
Multivariable Fractional Polynomials for lithium-ion batteries degradation models under dynamic conditions
Clara Bertinelli Salucci, Azzeddine Bakdi, Ingrid K. Glad +2
Longevity and safety of lithium-ion batteries are facilitated by efficient monitoring and adjustment of the battery operating conditions. Hence, it is crucial to implement fast and…