Stefan Feuerriegel
48 publications
14 venues
H Index 16
Affiliation
Ludwig Maximilians University of Munich, Institute of AI in Management, GermanyETH Zurich, Switzerland
Albert-Ludwigs-Universit t Freiburg, Germany
Links
DBLPGoogle Scholar
ORCID
LinkedIn- https://www.som.lmu.de/ai/en/institute/contact-page/feuerriegel.html
- https://mis.ethz.ch/about/feuerriegel.html
- https://openreview.net/profile?id=~Stefan_Feuerriegel1
- https://twitter.com/stfeuerriegel
- https://www.wikidata.org/entity/Q90699583
- https://d-nb.info/gnd/1079278257
| Name | Venue | Year | citations |
|---|---|---|---|
Differentially private learners for heterogeneous treatment effects.
|
ICLR | 2025 | 3 |
| A Diffusion-Based Method for Learning the Multi-Outcome Distribution of Medical Treatments.
|
KDD | 2025 | 3 |
| Learning Representations of Instruments for Partial Identification of Treatment Effects.
|
ICML | 2025 | 0 |
| Analyzing User Characteristics of Hate Speech Spreaders on Social Media.
|
WWW | 2025 | 0 |
| Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets.
|
ICLR | 2025 | 0 |
| Model-agnostic meta-learners for estimating heterogeneous treatment effects over time.
|
ICLR | 2025 | 0 |
| Stabilized Neural Prediction of Potential Outcomes in Continuous Time.
|
ICLR | 2025 | 0 |
| DiffPO: A causal diffusion model for learning distributions of potential outcomes.
|
NIPS/NeurIPS | 2024 | 15 |
| Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner.
|
NIPS/NeurIPS | 2024 | 7 |
| Causal Machine Learning for Cost-Effective Allocation of Development Aid.
|
KDD | 2024 | 14 |
| Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments.
|
ICML | 2024 | 10 |
| Fair Off-Policy Learning from Observational Data.
|
ICML | 2024 | 0 |
| A Neural Framework for Generalized Causal Sensitivity Analysis.
|
ICLR | 2024 | 0 |
| Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation.
|
ICLR | 2024 | 0 |
| Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework.
|
ICLR | 2024 | 0 |
| Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation.
|
ICLR | 2024 | 0 |
| Reliable Off-Policy Learning for Dosage Combinations.
|
NIPS/NeurIPS | 2023 | 15 |
| Sharp Bounds for Generalized Causal Sensitivity Analysis.
|
NIPS/NeurIPS | 2023 | 29 |
| DSG: An End-to-End Document Structure Generator.
|
ICDM | 2023 | 5 |
| Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model.
|
NIPS/NeurIPS | 2023 | 14 |
| Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving.
|
CHI | 2023 | 27 |
| Estimating Average Causal Effects from Patient Trajectories.
|
AAAI | 2023 | 0 |
| Normalizing Flows for Interventional Density Estimation.
|
ICML | 2023 | 0 |
| Estimating Conditional Average Treatment Effects with Missing Treatment Information.
|
AISTATS | 2023 | 0 |
| Contrastive Learning for Unsupervised Domain Adaptation of Time Series.
|
ICLR | 2023 | 0 |
| Estimating individual treatment effects under unobserved confounding using binary instruments.
|
ICLR | 2023 | 0 |
| A Deep Markov Model for Clickstream Analytics in Online Shopping.
|
WWW | 2022 | 18 |
| Detecting False Rumors from Retweet Dynamics on Social Media.
|
WWW | 2022 | 33 |
| Interpretable Off-Policy Learning via Hyperbox Search.
|
ICML | 2022 | 7 |
| QA Domain Adaptation using Hidden Space Augmentation and Self-Supervised Contrastive Adaptation.
|
EMNLP | 2022 | 4 |
| Causal Transformer for Estimating Counterfactual Outcomes.
|
ICML | 2022 | 134 |
| Generalizing off-policy learning under sample selection bias.
|
UAI | 2022 | 0 |
| Contrastive Domain Adaptation for Question Answering using Limited Text Corpora.
|
EMNLP | 2021 | 40 |
| AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units.
|
KDD | 2021 | 39 |
| Predicting COVID-19 Spread from Large-Scale Mobility Data.
|
KDD | 2021 | 31 |
| Estimating Average Treatment Effects via Orthogonal Regularization.
|
CIKM | 2021 | 37 |
| DocParser: Hierarchical Document Structure Parsing from Renderings.
|
AAAI | 2021 | 37 |
| IntKB: A Verifiable Interactive Framework for Knowledge Base Completion.
|
COLING | 2020 | 11 |
| Cascade-LSTM: A Tree-Structured Neural Classifier for Detecting Misinformation Cascades.
|
KDD | 2020 | 35 |
| Sample Complexity Bounds for RNNs with Application to Combinatorial Graph Problems (Student Abstract).
|
AAAI | 2020 | 6 |
| Learning a Cost-Effective Annotation Policy for Question Answering.
|
EMNLP | 2020 | 18 |
| Early Detection of User Exits from Clickstream Data: A Markov Modulated Marked Point Process Model.
|
WWW | 2020 | 34 |
| One Picture Is Worth a Thousand Words? The Pricing Power of Images in e-Commerce.
|
WWW | 2020 | 12 |
| Mining Points-of-Interest for Explaining Urban Phenomena: A Scalable Variational Inference Approach.
|
WWW | 2020 | 0 |
| RankQA: Neural Question Answering with Answer Re-Ranking.
|
ACL | 2019 | 51 |
| Learning from On-Line User Feedback in Neural Question Answering on the Web.
|
WWW | 2019 | 21 |
| Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching.
|
KDD | 2019 | 14 |
| Adaptive Document Retrieval for Deep Question Answering.
|
EMNLP | 2018 | 56 |