Rabanser, Stephan
- Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift
2018/10/29 by Rabanser, Stephan, Günnemann, Stephan, Lipton, Zachary C. · 20 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Introduction to Tensor Decompositions and their Applications in Machine Learning
2017/11/29 by Stephan Rabanser, Oleksandr Shchur, Rabanser, Stephan +3 · 1 voice · 5 citations
#stat.ML #cs.LG
- The Effectiveness of Discretization in Forecasting: An Empirical Study on Neural Time Series Models
2020/05/20 by Rabanser, Stephan, Januschowski, Tim, Flunkert, Valentin +2 · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Gatekeeper: Improving Model Cascades Through Confidence Tuning
2025/02/26 by Rabanser, Stephan, Rauschmayr, Nathalie, Kulshrestha, Achin +5 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Suitability Filter: A Statistical Framework for Classifier Evaluation in Real-World Deployment Settings
2025/05/28 by Pouget, Angéline, Yaghini, Mohammad, Rabanser, Stephan +1 · 1 citation
#Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)