Working Papers

Detecting and Mitigating Group Bias in Heterogeneous Treatment Effects
with Jurrien Bakker, Dennis Bohle, Stefan Feuerriegel, and Florian von Wangenheim
Major Revision, Management Science
arXiv Presented: Bass UTD-FORMS 2026 · CODE@MIT 2025 · WoPA 2024 [video] · Marketing Science 2023 · TPM 2023 · ACIC 2023 · Marketing Science: DEI 2023 Seminars: University of Zurich · CER ETH Zurich · Machine Learning Foundations @ Booking.com
Learning from Editorial Decisions: Optimizing Audience-Wide Content Promotions with Causal Machine Learning
with Stefan Feuerriegel and Cristina Kadar
Major Revision, Management Science
Previously presented under other titles. Presented: INFORMS 2023 · QME 2023 · EURO Pricing 2023 · ACIC 2024 · INFORMS RPM 2023 · INFORMS MSOM 2023 · Causal Data Science Meeting 2021 · SCECR 2021 · Marketing Science 2021 · EC'23 Invited: AI Keynotes @ LMU Munich · WAN-IFRA [slides]

Work in Progress

Return-Aware Platform Experimentation: New Directions for Research
with Jacqueline Doremus, Brian St. Thomas, Carlos A. Flores, Sebastian Ankargren, Mårten Schultzberg, and Kyle Kretschman
Extended abstract Systematic literature review dataset Presented: DRO/Deming Workshop on Experimentation @ Columbia
Statistical Foundations of LLM-based A/B Testing: A Surrogacy Framework for Human Causal Inference
with Mårten Schultzberg and Sebastian Ankargren
Extended abstract Presented: DRO/Deming Workshop on Experimentation @ Columbia
Logging Policy Design for Off-Policy Evaluation
with Connor Douglas and Foster Provost
Poster: ACIC 2026

Publications

EventChat: Implementation and user-centric evaluation of a large language model-driven conversational recommender system for exploring leisure events in an SME context
with Hannes Kunstmann, Joseph Ollier, and Florian von Wangenheim
ACM Transactions on Recommender Systems — Special Issue on Generative Models for Recommender Systems
Auditing a Dutch Public Sector Risk Profiling Algorithm Using an Unsupervised Bias Detection Tool
with Floris Holstege, Mackenzie Jorgensen, Kirtan Padh, Jurriaan Parie, Krsto Prorokovic, and Lukas Snoek
IASEAI'26 — International Association for Safe & Ethical Artificial Intelligence
Monitoring the COVID-19 Epidemic with Nationwide Telecommunication Data
with Jurriaan Parie and Stefan Feuerriegel
PNAS (June 2021)
Online supplements Code Invited talks: Public Health Agency of Canada · STATEC Luxembourg [slides] Media: CNBC · The Telegraph · Le Figaro · Radio Canada · Times of Malta
Estimating the effect of mobility on SARS-CoV-2 transmission during the first and second wave of the COVID-19 epidemic, Switzerland, March to December 2020
with Adrian Lison, Nicolas Banholzer, and Stefan Feuerriegel
Eurosurveillance (2022)
Online supplements
Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine
with Theresa Blümlein and Stefan Feuerriegel
Machine Learning for Healthcare (MLHC) 2022
Code Presented: MLHC 2022 · University of Zurich
Predicting COVID-19 Spread from Large-Scale Mobility Data
with Amray Schwabe and Stefan Feuerriegel
KDD 2022
Presented: KDD 2021

Other

7 ways to invest in better digital technology to fight pandemics
with Stefan Feuerriegel
World Economic Forum (July 2021)