Stefan Feuerriegel

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Papers (26)

1. Amortizing Causal Sensitivity Analysis via Prior Data-Fitted Networks stat.ML · 2026 · author #5
2. ConfoundingSHAP: Quantifying confounding strength in causal inference cs.LG · 2026 · author #8
3. SkillGen: Verified Inference-Time Agent Skill Synthesis cs.LG · 2026 · author #8
4. NARRA-Gym for Evaluating Interactive Narrative Agents cs.CL · 2026 · author #16
5. ORTHOBO: Orthogonal Bayesian Hyperparameter Optimization cs.LG · 2026 · author #4
6. A meta-analysis of the effect of generative AI on productivity and learning in programming cs.SE · 2026 · author #5
7. Debiased neural operators for estimating functionals cs.LG · 2026 · author #4
8. Targeted Synthetic Control Method stat.ML · 2026 · author #6
9. Assessing the robustness of heterogeneous treatment effects in survival analysis under informative censoring cs.LG · 2025 · author #5
10. Orthogonal Representation Learning for Estimating Causal Quantities cs.LG · 2025 · author #4
11. Improving Heart Rate Variability Measurements from Consumer Smartwatches with Machine Learning cs.LG · 2019 · author #6
12. Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences cs.LG · 2019 · author #2
13. Public decision support for low population density areas: An imbalance-aware hyper-ensemble for spatio-temporal crime prediction cs.CY · 2019 · author #3
14. Reinforcement Learning in R cs.LG · 2018 · author #2
15. Adaptive Document Retrieval for Deep Question Answering cs.CL · 2018 · author #2
16. News-based trading strategies q-fin.TR · 2018 · author #1
17. Long-term stock index forecasting based on text mining of regulatory disclosures stat.AP · 2018 · author #1
18. Investor Reaction to Financial Disclosures Across Topics: An Application of Latent Dirichlet Allocation cs.CL · 2018 · author #1
19. Putting Question-Answering Systems into Practice: Transfer Learning for Efficient Domain Customization cs.CL · 2018 · author #2
20. Deep learning for affective computing: text-based emotion recognition in decision support cs.CL · 2018 · author #4
21. News-based forecasts of macroeconomic indicators: A semantic path model for interpretable predictions stat.ML · 2018 · author #1
22. Decision support from financial disclosures with deep neural networks and transfer learning cs.CL · 2017 · author #2
23. Statistical Inferences for Polarity Identification in Natural Language cs.CL · 2017 · author #2
24. Understanding Negations in Information Processing: Learning from Replicating Human Behavior cs.AI · 2017 · author #2
25. Sentiment analysis based on rhetorical structure theory: Learning deep neural networks from discourse trees cs.CL · 2017 · author #2
26. Improving Decision Analytics with Deep Learning: The Case of Financial Disclosures stat.ML · 2015 · author #1

Mentions

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Frequent Coauthors

• Dennis Frauen 6 shared papers
• Mathias Kraus 5 shared papers
• Jonas Schweisthal 4 shared papers
• Nicolas Pr\"ollochs 4 shared papers
• Bernhard Kratzwald 3 shared papers
• Maresa Schr\"oder 3 shared papers
• Yuchen Ma 3 shared papers
• Dirk Neumann 2 shared papers
• Emil Javurek 2 shared papers
• Helmut Prendinger 2 shared papers
• Julius Gordon 2 shared papers
• Konstantin Hess 2 shared papers
• Marie Brockschmidt 2 shared papers
• Valentyn Melnychuk 2 shared papers
• Xiangliang Zhang 2 shared papers
• Yue Huang 2 shared papers
• Yuxin Wang 2 shared papers
• Caterina B\'erub\'e 1 shared papers
• Chaoran Chen 1 shared papers
• Cristina Kadar 1 shared papers