Dandl, Susanne

1. General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models
   2020/07/08 by Christoph Molnar, Gunnar König, Molnar, Christoph +15 · 10 citations
   Computer Science · #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
2. What Makes Forest-Based Heterogeneous Treatment Effect Estimators Work?
   2022/06/21 by Susanne Dandl, Torsten Hothorn, Dandl, Susanne +9 · 1 citation
   Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistical Methods and Inference #Statistical Methods in Clinical Trials
3. Leveraging Model-based Trees as Interpretable Surrogate Models for Model Distillation
   2023/10/04 by Herbinger, Julia, Dandl, Susanne, Ewald, Fiona K. +2 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)