Martin Jullum
Martin Jullum
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Last updated March 2022
2022
Shapley values for prediction explanation
Overview of the use of Shapley values for prediction explanation
Feb 3, 2022
Online
Martin Jullum
Project
Slides
2021
Efficient and simple prediction explanations with groupShapley -- A practical perspective
Extending feature-wise Shapley value explanations to explanations through groups of features
Nov 30, 2021
Online
Martin Jullum
,
Annabelle Redelmeier
,
Kjersti Aas
Project
Slides
Prediction explanation with Shapley values
Overview of the use of Shapley values for prediction explanation and the relevant work within BigInsight.
Oct 29, 2021
Online
Martin Jullum
Project
Slides
Variabelreduksjon (in norwegian)
Oversikt over variabelreduksjonsmetoder innen statistikk og maskinlæring.
Sep 1, 2021
Online
Martin Jullum
Project
Slides
Explaining individual predictions when features are dependent: More accurate approximations to Shapley values
Invited talk (+poster) presenting our JAI-paper, presenting different methods for accounting for dependence in Shapley value based prediction explanations with accompanying simulation studies.
Aug 24, 2021
Online
Martin Jullum
,
joint with Kjersti Aas and Anders Løland
Project
Poster
Slides
Video
Efficient Shapley value explanation through covariate groups
Presenting a method for explaining predictive models with Shapley values for groups of covariates
Jun 23, 2021
Online/Tromsø, Norway
Martin Jullum
Project
Slides
Boostede tre modeller: Fra en enkel tre-modell til en XGBoost-modell (in norwegian)
En reise fra enkle tre-modeller via boosting, gradient boosting som ender opp med XGBoost.
Feb 9, 2021
Online
Martin Jullum
Project
Slides
groupShapley: Efficient Shapley value explanation through feature groups
Poster/5-min lightning presentations: Extending feature-wise Shapley value explanations to explanations through groups of features.
Jan 27, 2021
Online
Martin Jullum
Project
Slides
2020
Detecting money laundering with machine learning
Overview of our work on detecting money laundering with machine learning
Aug 26, 2020
Norwegian Computing Center, Norway/ Online
Martin Jullum
Project
Slides
Shapley-baserte modellforklaringer
Enkel introduksjon til modellforklaring og Shapley verdier + praktisk bruk av R-pakken shapr
Jun 26, 2020
Online
Martin Jullum
Code
Project
Slides
Proper prediction explanatin with shapr
Crash course in Shapley based methods for model explanation and demo of the R-package shapr
Jun 26, 2020
Online
Martin Jullum
Code
Project
Slides
How to open the black box: Individual prediction explanation
Invited talk giving an introduction to prediction explanation with particular focus on our work on Shapley values.
Mar 29, 2020
NTNU, Trondheim
Martin Jullum
Project
Slides
2019
Opening the black box: Individual prediction explanation
Invited talk presenting our groups work on dependence-aware prediction explanation with Shapley values.
Nov 14, 2019
Norwegian Institute of Public Health, Oslo
Martin Jullum
Project
Slides
How to open the black box: Individual prediction explanation
Introducing the topic of prediction explanation and Shapley values + some words on our methods for accounting for the feature dependence
Jun 19, 2019
Sola Strand Hotel, Stavanger
Martin Jullum
Project
Slides
Mindre rutinearbeid med maskinlæring
Fellespresentasjon med Lars Erik Bolstad i DNB med introduksjon til hvitvasking og vårt arbeid med bruk av maskinlæring til deteksjon av hvitvasking i BigInsight (in norwegian)
May 9, 2019
Norwegian Computing Center, Norway/ Online
Martin Jullum
,
Lars Erik Bolstad
Project
Slides
Boosted decision trees: From a single tree to and XGBoost model
A semi-technical introduction to the idea behind XGBoost – starting off with simple tree models. I also provide insight into the latest methodological developments.
May 9, 2019
Norway
Martin Jullum
Project
Slides
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