Stefan Feuerriegel

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 200

Top Venues

Publications

Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar
A Neural Framework for Generalized Causal Sensitivity Analysis. ICLR (2024)
Julian Senoner, Simon Schallmoser, Bernhard Kratzwald, Stefan Feuerriegel, Torbjørn H. Netland
Explainable AI improves task performance in human-AI collaboration. CoRR (2024)
Dennis Frauen, Konstantin Hess, Stefan Feuerriegel
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time. CoRR (2024)
Konstantin Hess, Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation. ICLR (2024)
Mathias Kraus, Stefan Feuerriegel, Maytal Saar-Tsechansky
Data-Driven Allocation of Preventive Care with Application to Diabetes Mellitus Type II. Manuf. Serv. Oper. Manag. 26 (1) (2024)
Maresa Schröder, Dennis Frauen, Stefan Feuerriegel
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework. ICLR (2024)
Konstantin Hess, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
G-Transformer for Conditional Average Potential Outcome Estimation over Time. CoRR (2024)
Christof Naumzik, Alice Kongsted, Werner Vach, Stefan Feuerriegel
Data-driven subgrouping of patient trajectories with chronic diseases: Evidence from low back pain. CoRR (2024)
Tobias Hatt, Stefan Feuerriegel
Sequential Deconfounding for Causal Inference with Unobserved Confounders. CLeaR (2024)
Milan Kuzmanovic, Dennis Frauen, Tobias Hatt, Stefan Feuerriegel
Causal Machine Learning for Cost-Effective Allocation of Development Aid. KDD (2024)
Milan Kuzmanovic, Dennis Frauen, Tobias Hatt, Stefan Feuerriegel
Causal Machine Learning for Cost-Effective Allocation of Development Aid. CoRR (2024)
Daniel Tschernutter, Mathias Kraus, Stefan Feuerriegel
A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions. Trans. Mach. Learn. Res. 2024 (2024)
Daniel Tschernutter, Mathias Kraus, Stefan Feuerriegel
A Globally Convergent Algorithm for Neural Network Parameter Optimization Based on Difference-of-Convex Functions. CoRR (2024)
Amirsiavosh Bashardoust, Stefan Feuerriegel, Yash Raj Shrestha
Comparing the willingness to share for human-generated vs. AI-generated fake news. CoRR (2024)
Jonas Schweisthal, Dennis Frauen, Mihaela van der Schaar, Stefan Feuerriegel
Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments. CoRR (2024)
Stefan Feuerriegel, Jochen Hartmann, Christian Janiesch, Patrick Zschech
Generative AI. Bus. Inf. Syst. Eng. 66 (1) (2024)
Bernhard Lutz, Marc T. P. Adam, Stefan Feuerriegel, Nicolas Pröllochs, Dirk Neumann
Which Linguistic Cues Make People Fall for Fake News? A Comparison of Cognitive and Affective Processing. Proc. ACM Hum. Comput. Interact. 8 (CSCW1) (2024)
Abdurahman Maarouf, Dominik Bär, Dominique Geissler, Stefan Feuerriegel
HQP: A Human-Annotated Dataset for Detecting Online Propaganda. ACL (Findings) (2024)
Abdurahman Maarouf, Nicolas Pröllochs, Stefan Feuerriegel
The Virality of Hate Speech on Social Media. Proc. ACM Hum. Comput. Interact. 8 (CSCW1) (2024)
Arne Seeliger, Raphael P. Weibel, Stefan Feuerriegel
Context-Adaptive Visual Cues for Safe Navigation in Augmented Reality Using Machine Learning. Int. J. Hum. Comput. Interact. 40 (3) (2024)
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation. ICLR (2024)
Gunther Gust, Alexander Schlüter, Stefan Feuerriegel, Ignacio Úbeda, Jonathan T. Lee, Dirk Neumann
Designing electricity distribution networks: The impact of demand coincidence. Eur. J. Oper. Res. 315 (1) (2024)
Maresa Schröder, Dennis Frauen, Jonas Schweisthal, Konstantin Hess, Valentyn Melnychuk, Stefan Feuerriegel
Conformal Prediction for Causal Effects of Continuous Treatments. CoRR (2024)
Kevin Koch, Martin Maritsch, Eva van Weenen, Stefan Feuerriegel, Matthias Pfäffli, Elgar Fleisch, Wolfgang Weinmann, Felix Wortmann
Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving. CoRR (2023)
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model. CoRR (2023)
Nicolas Banholzer, Thomas A. Mellan, H. Juliette T. Unwin, Stefan Feuerriegel, Swapnil Mishra, Samir Bhatt
A comparison of short-term probabilistic forecasts for the incidence of COVID-19 using mechanistic and statistical time series models. CoRR (2023)
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model. NeurIPS (2023)
Yilmazcan Özyurt, Stefan Feuerriegel, Ce Zhang
Contrastive Learning for Unsupervised Domain Adaptation of Time Series. ICLR (2023)
Yash Raj Shrestha, Georg von Krogh, Stefan Feuerriegel
Building open-source AI. Nat. Comput. Sci. 3 (11) (2023)
Milan Kuzmanovic, Tobias Hatt, Stefan Feuerriegel
Estimating Conditional Average Treatment Effects with Missing Treatment Information. AISTATS (2023)
Dominik Bär, Nicolas Pröllochs, Stefan Feuerriegel
Finding Qs: Profiling QAnon Supporters on Parler. ICWSM (2023)
Johannes Jakubik, Michael Vössing, Nicolas Pröllochs, Dominik Bär, Stefan Feuerriegel
Online Emotions during the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler. ICWSM (2023)
Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
Sharp Bounds for Generalized Causal Sensitivity Analysis. NeurIPS (2023)
Konstantin Hess, Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation. CoRR (2023)
Julian Senoner, Bernhard Kratzwald, Milan Kuzmanovic, Torbjørn H. Netland, Stefan Feuerriegel
Addressing distributional shifts in operations management: The case of order fulfillment in customized production. CoRR (2023)
Nicolas Pröllochs, Stefan Feuerriegel
Mechanisms of True and False Rumor Sharing in Social Media: Collective Intelligence or Herd Behavior? Proc. ACM Hum. Comput. Interact. 7 (CSCW2) (2023)
Dominik Bär, Nicolas Pröllochs, Stefan Feuerriegel
New threats to society from free-speech social media platforms. CoRR (2023)
Dominik Bär, Nicolas Pröllochs, Stefan Feuerriegel
New Threats to Society from Free-Speech Social Media Platforms. Commun. ACM 66 (10) (2023)
Jonas Schweisthal, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
Reliable Off-Policy Learning for Dosage Combinations. CoRR (2023)
Johannes Rausch, Gentiana Rashiti, Maxim Gusev, Ce Zhang, Stefan Feuerriegel
DSG: An End-to-End Document Structure Generator. ICDM (2023)
Yuchen Ma, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
Counterfactual Fairness for Predictions using Generative Adversarial Networks. CoRR (2023)
Dominique Geissler, Abdurahman Maarouf, Stefan Feuerriegel
Causal Understanding of Why Users Share Hate Speech on Social Media. CoRR (2023)
Christof Naumzik, Stefan Feuerriegel, Anne Molgaard Nielsen
Data-driven dynamic treatment planning for chronic diseases. Eur. J. Oper. Res. 305 (2) (2023)
Johannes Rausch, Gentiana Rashiti, Maxim Gusev, Ce Zhang, Stefan Feuerriegel
DSG: An End-to-End Document Structure Generator. CoRR (2023)
Jonas Schweisthal, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
Reliable Off-Policy Learning for Dosage Combinations. NeurIPS (2023)
Kevin Koch, Martin Maritsch, Eva van Weenen, Stefan Feuerriegel, Matthias Pfäffli, Elgar Fleisch, Wolfgang Weinmann, Felix Wortmann
Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving. CHI (2023)
Dominik Bär, Fausto Calderon, Michael Lawlor, Sophia Licklederer, Manuel Totzauer, Stefan Feuerriegel
Analyzing Social Media Activities at Bellingcat. WebSci (2023)
Yilmazcan Özyurt, Stefan Feuerriegel, Ce Zhang
In-Context Few-Shot Relation Extraction via Pre-Trained Language Models. CoRR (2023)
Stefan Feuerriegel, Jochen Hartmann, Christian Janiesch, Patrick Zschech
Generative AI. CoRR (2023)
Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
Sharp Bounds for Generalized Causal Sensitivity Analysis. CoRR (2023)
Mathias Kraus, Stefan Feuerriegel, Maytal Saar-Tsechansky
Data-Driven Allocation of Preventive Care With Application to Diabetes Mellitus Type II. CoRR (2023)
Gunther Gust, Alexander Schlüter, Stefan Feuerriegel, Ignacio Úbeda, Jonathan T. Lee, Dirk Neumann
Designing Electricity Distribution Networks: The Impact of Demand Coincidence. CoRR (2023)
Moritz von Zahn, Oliver Hinz, Stefan Feuerriegel
Locating disparities in machine learning. BigData (2023)
Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel
Fair Off-Policy Learning from Observational Data. CoRR (2023)
Bernhard Lutz, Marc T. P. Adam, Stefan Feuerriegel, Nicolas Pröllochs, Dirk Neumann
Which linguistic cues make people fall for fake news? A comparison of cognitive and affective processing. CoRR (2023)
Dennis Frauen, Tobias Hatt, Valentyn Melnychuk, Stefan Feuerriegel
Estimating Average Causal Effects from Patient Trajectories. AAAI (2023)
Dominik Bär, Francesco Pierri, Gianmarco De Francisci Morales, Stefan Feuerriegel
Auditing Targeted Political Advertising on Social Media During the 2021 German Election. CoRR (2023)
Dominique Geissler, Dominik Bär, Nicolas Pröllochs, Stefan Feuerriegel
Russian propaganda on social media during the 2022 invasion of Ukraine. EPJ Data Sci. 12 (1) (2023)
Dennis Frauen, Stefan Feuerriegel
Estimating individual treatment effects under unobserved confounding using binary instruments. ICLR (2023)
Abdurahman Maarouf, Dominik Bär, Dominique Geissler, Stefan Feuerriegel
HQP: A Human-Annotated Dataset for Detecting Online Propaganda. CoRR (2023)
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Normalizing Flows for Interventional Density Estimation. ICML (2023)
Dominique Geissler, Stefan Feuerriegel
Analyzing the Strategy of Propaganda using Inverse Reinforcement Learning: Evidence from the 2022 Russian Invasion of Ukraine. CoRR (2023)
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation. CoRR (2023)
Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar
A Neural Framework for Generalized Causal Sensitivity Analysis. CoRR (2023)
Maresa Schröder, Dennis Frauen, Stefan Feuerriegel
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework. CoRR (2023)
Michaela Benk, Raphael Weibel, Stefan Feuerriegel, Andrea Ferrario
"Is It My Turn?": Assessing Teamwork and Taskwork in Collaborative Immersive Analytics. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Johannes Jakubik, Michael Vössing, Dominik Bär, Nicolas Pröllochs, Stefan Feuerriegel
Online Emotions During the Storming of the U.S. Capitol: Evidence from the Social Media Network Parler. CoRR (2022)
Dominik Bär, Nicolas Pröllochs, Stefan Feuerriegel
Finding Qs: Profiling QAnon Supporters on Parler. CoRR (2022)
Dominik Bär, Fausto Calderon, Michael Lawlor, Sophia Licklederer, Manuel Totzauer, Stefan Feuerriegel
Analyzing Social Media Activities at Bellingcat. CoRR (2022)
Michaela Benk, Raphael Weibel, Stefan Feuerriegel, Andrea Ferrario
"Is It My Turn?" Assessing Teamwork and Taskwork in Collaborative Immersive Analytics. CoRR (2022)
Tobias Hatt, Daniel Tschernutter, Stefan Feuerriegel
Generalizing off-policy learning under sample selection bias. UAI (2022)
Mateusz Dolata, Stefan Feuerriegel, Gerhard Schwabe
A sociotechnical view of algorithmic fairness. Inf. Syst. J. 32 (4) (2022)
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Causal Transformer for Estimating Counterfactual Outcomes. CoRR (2022)
Theresa Blümlein, Joel Persson, Stefan Feuerriegel
Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine. CoRR (2022)
Michaela Benk, Raphael Weibel, Stefan Feuerriegel, Andrea Ferrario
"Is It My Turn?": Assessing Teamwork and Taskwork in Collaborative Immersive Analytics. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Manuel Ganter, Malte Toetzke, Stefan Feuerriegel
Mining Points-of-Interest Data to Predict Urban Inequality: Evidence from Germany and France. ICWSM (2022)
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Causal Transformer for Estimating Counterfactual Outcomes. ICML (2022)
Stefan Feuerriegel, Yash Raj Shrestha, Georg von Krogh, Ce Zhang
Bringing artificial intelligence to business management. Nat. Mach. Intell. 4 (7) (2022)
Dennis Frauen, Stefan Feuerriegel
Estimating individual treatment effects under unobserved confounding using binary instruments. CoRR (2022)
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
Normalizing Flows for Interventional Density Estimation. CoRR (2022)
Daniel Tschernutter, Tobias Hatt, Stefan Feuerriegel
Interpretable Off-Policy Learning via Hyperbox Search. CoRR (2022)
Olga Fink, Torbjørn H. Netland, Stefan Feuerriegel
Artificial intelligence across company borders. Commun. ACM 65 (1) (2022)
Philipp Hummler, Christof Naumzik, Stefan Feuerriegel
Web Mining to Inform Locations of Charging Stations for Electric Vehicles. WWW (Companion Volume) (2022)
Zhenrui Yue, Huimin Zeng, Bernhard Kratzwald, Stefan Feuerriegel, Dong Wang
QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation. EMNLP (2022)
Yilmazcan Özyurt, Stefan Feuerriegel, Ce Zhang
Contrastive Learning for Unsupervised Domain Adaptation of Time Series. CoRR (2022)
Milan Kuzmanovic, Tobias Hatt, Stefan Feuerriegel
Estimating Conditional Average Treatment Effects with Missing Treatment Information. CoRR (2022)
Christof Naumzik, Stefan Feuerriegel
Detecting False Rumors from Retweet Dynamics on Social Media. WWW (2022)
Christof Naumzik, Stefan Feuerriegel
Detecting False Rumors from Retweet Dynamics on Social Media. CoRR (2022)
Julian Senoner, Torbjørn H. Netland, Stefan Feuerriegel
Using Explainable Artificial Intelligence to Improve Process Quality: Evidence from Semiconductor Manufacturing. Manag. Sci. 68 (8) (2022)
Theresa Blümlein, Joel Persson, Stefan Feuerriegel
Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine. MLHC (2022)
Maria De-Arteaga, Stefan Feuerriegel, Maytal Saar-Tsechansky
Algorithmic Fairness in Business Analytics: Directions for Research and Practice. CoRR (2022)
Moritz von Zahn, Oliver Hinz, Stefan Feuerriegel
Locating disparities in machine learning. CoRR (2022)
Tobias Hatt, Jeroen Berrevoets, Alicia Curth, Stefan Feuerriegel, Mihaela van der Schaar
Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects. CoRR (2022)
Philipp Hummler, Christof Naumzik, Stefan Feuerriegel
Web Mining to Inform Locations of Charging Stations for Electric Vehicles. CoRR (2022)
Abdurahman Maarouf, Nicolas Pröllochs, Stefan Feuerriegel
The Virality of Hate Speech on Social Media. CoRR (2022)
Dominique Geissler, Dominik Bär, Nicolas Pröllochs, Stefan Feuerriegel
Russian propaganda on social media during the 2022 invasion of Ukraine. CoRR (2022)
Yilmazcan Özyurt, Tobias Hatt, Ce Zhang, Stefan Feuerriegel
A Deep Markov Model for Clickstream Analytics in Online Shopping. WWW (2022)
Daniel Tschernutter, Tobias Hatt, Stefan Feuerriegel
Interpretable Off-Policy Learning via Hyperbox Search. ICML (2022)
Dennis Frauen, Tobias Hatt, Valentyn Melnychuk, Stefan Feuerriegel
Estimating average causal effects from patient trajectories. CoRR (2022)
Nicolas Pröllochs, Stefan Feuerriegel
Mechanisms of True and False Rumor Sharing in Social Media: Wisdom-of-Crowds or Herd Behavior? CoRR (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Stefan Feuerriegel