Giuseppe Casalicchio

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. Position: Why We Must Rethink Empirical Research in Machine Learning
   2024/05/03 by Moritz Herrmann, F. Julian D. Lange, Herrmann, Moritz +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, Julia Herbinger, Moosbauer, Julia +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. 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
5. 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