ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2210.03047
  4. Cited By
Conditional Feature Importance for Mixed Data
v1v2v3 (latest)

Conditional Feature Importance for Mixed Data

AStA Advances in Statistical Analysis (AStA), 2022
6 October 2022
Kristin Blesch
David S. Watson
Marvin N. Wright
ArXiv (abs)PDFHTML

Papers citing "Conditional Feature Importance for Mixed Data"

7 / 7 papers shown
A Guide to Feature Importance Methods for Scientific Inference
A Guide to Feature Importance Methods for Scientific Inference
F. K. Ewald
Ludwig Bothmann
Marvin N. Wright
J. Herbinger
Giuseppe Casalicchio
Gunnar Konig
276
25
0
19 Apr 2024
Interpretable Machine Learning for Survival Analysis
Interpretable Machine Learning for Survival Analysis
Sophie Hanna Langbein
Mateusz Krzyzinski
Mikolaj Spytek
Hubert Baniecki
P. Biecek
Marvin N. Wright
284
7
0
15 Mar 2024
Variable Importance in High-Dimensional Settings Requires Grouping
Variable Importance in High-Dimensional Settings Requires Grouping
Ahmad Chamma
Bertrand Thirion
Denis A. Engemann
243
12
0
18 Dec 2023
Explaining and visualizing black-box models through counterfactual paths
Explaining and visualizing black-box models through counterfactual pathsPattern Analysis and Applications (PAA), 2023
Bastian Pfeifer
Mateusz Krzyzinski
Hubert Baniecki
Anna Saranti
Andreas Holzinger
P. Biecek
295
2
0
15 Jul 2023
Efficient SAGE Estimation via Causal Structure Learning
Efficient SAGE Estimation via Causal Structure LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
C. Luther
Gunnar Konig
Moritz Grosse-Wentrup
294
4
0
06 Apr 2023
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
Satyapriya Krishna
Tessa Han
Alex Gu
Steven Wu
S. Jabbari
Himabindu Lakkaraju
765
241
0
03 Feb 2022
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
2.5K
19,805
0
16 Feb 2016
1
Page 1 of 1