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Casalicchio, Giuseppe

  1. General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models
    2020/07/08 by Christoph Molnar, Molnar, Christoph, Gunnar König +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. Position: Why We Must Rethink Empirical Research in Machine Learning
    2024/05/03 by Moritz Herrmann, Herrmann, Moritz, F. Julian D. Lange +18 · 1 voice · 9 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification #Online Learning and Analytics #cs.LG #stat.ML
  3. Explaining Hyperparameter Optimization via Partial Dependence Plots
    2021/11/08 by Julia Moosbauer, Moosbauer, Julia, Julia Herbinger +7 · 5 citations
    Computer Science · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Metaheuristic Optimization Algorithms Research
  4. Decomposing Global Feature Effects Based on Feature Interactions
    2023/06/01 by Julia Herbinger, Herbinger, Julia, Wright, Marvin N. +3 · 3 citations
    Computer Science · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  5. Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration
    2024/03/07 by Julian Rodemann, Rodemann, Julian, Federico Croppi +17 · 2 citations
    Computer Science · Social Sciences · #Explainable Artificial Intelligence (XAI) #Ethics and Social Impacts of AI
  6. REPID: Regional Effect Plots with implicit Interaction Detection
    2022/02/15 by Herbinger, Julia, Bischl, Bernd, Casalicchio, Giuseppe · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  7. Marginal Effects for Non-Linear Prediction Functions
    2022/01/21 by Christian A. Scholbeck, Scholbeck, Christian A., Giuseppe Casalicchio +7 · 1 citation
    Computer Science · Mathematics · #Applications (stat.AP) #Econometrics (econ.EM) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Economics and business #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Methodology (stat.ME) #Statistical Methods and Inference
  8. 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)