Stefan Feuerriegel
~Stefan_Feuerriegel1
27
论文总数
13.5
年均投稿
平均评分
接收情况17/27
会议分布
ICLR
18
NeurIPS
8
ICML
1
发表论文 (27 篇)
202519 篇
3
Automated Knowledge Concept Annotation and Question Representation Learning for Knowledge Tracing
ICLR 2025Rejected
4
Stabilized Neural Prediction of Potential Outcomes in Continuous Time
ICLR 2025Poster
4
Document-Level In-Context Few-Shot Relation Extraction via Pre-Trained Language Models
ICLR 2025Rejected
4
Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing
NeurIPS 2025Poster
4
Differentially private learners for heterogeneous treatment effects
ICLR 2025Poster
4
Model-agnostic meta-learners for estimating heterogeneous treatment effects over time
ICLR 2025Poster
4
Counterfactual fairness prediction: Consistent estimation with generative models and theoretical guarantees
ICLR 2025Rejected
3
Orthogonal Representation Learning for Estimating Causal Quantities
ICLR 2025Rejected
4
G-Transformer for Conditional Average Potential Outcome Estimation over Time
ICLR 2025Rejected
4
Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data
NeurIPS 2025Poster
4
LLM-Driven Treatment Effect Estimation Under Inference Time Text Confounding
NeurIPS 2025Poster
4
Improving the Generation and Evaluation of Synthetic Data for Downstream Medical Causal Inference
NeurIPS 2025Poster
4
Generation and Evaluation of Synthetic Data Containing Treatments
ICLR 2025Rejected
5
Treatment Effect Estimation for Optimal Decision-Making
NeurIPS 2025Poster
4
Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets
ICLR 2025Poster
4
Learning Representations of Instruments for Partial Identification of Treatment Effects
ICLR 2025Rejected
5
Learning Representations of Instruments for Partial Identification of Treatment Effects
ICML 2025Poster
4
Conformal prediction for causal effects of continuous treatments
ICLR 2025Rejected
4
Conformal Prediction for Causal Effects of Continuous Treatments
NeurIPS 2025Poster
20248 篇
5
Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner
NeurIPS 2024Poster
4
Fair Off-Policy Learning from Observational Data
ICLR 2024Rejected
4
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation
ICLR 2024Spotlight
3
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework
ICLR 2024Poster
4
Counterfactual Fairness for Predictions using Generative Adversarial Networks
ICLR 2024Rejected
4
DiffPO: A causal diffusion model for learning distributions of potential outcomes
NeurIPS 2024Poster
4
Bayesian Neural Controlled Differential Equations for Treatment Effect Estimation
ICLR 2024Poster
4
A Neural Framework for Generalized Causal Sensitivity Analysis
ICLR 2024Poster