Peer-reviewed
Causal Methods for LLM Development and Evaluation
D. Frauen, M. Brockschmidt, K. Hess, H. Ma, Y. Ma, A. Maarouf, M. Schröder, Yuxin Wang, et al.
ACM SIGKDD, Blue Sky Track, 2026
[arXiv]
Constructing Confidence Intervals for Average Treatment Effects from Multiple Datasets
Yuxin Wang, M. Schröder, D. Frauen, J. Schweisthal, K. Hess, S. Feuerriegel
International Conference on Learning Representations (ICLR), 2025
[arXiv]
ContinuAR: Continuous Autoregression for Infinite-Fidelity Fusion
W. Xing, Yuxin Wang, Z. Xing
Advances in Neural Information Processing Systems (NeurIPS), 2023
[arXiv]
GAR: Generalized Autoregression for Multi-Fidelity Fusion
Yuxin Wang, Z. Xing, W. Xing
Advances in Neural Information Processing Systems (NeurIPS), 2022
[arXiv]
Preprints
Adaptive Experimentation for Censored Survival Outcomes
Yuxin Wang, D. Frauen, J. Schweisthal, M. Schröder, E. Javurek, S. Feuerriegel
arXiv preprint, 2026
[arXiv]
Targeted Synthetic Control Method
Yuxin Wang, D. Frauen, E. Javurek, K. Hess, Y. Ma, S. Feuerriegel
arXiv preprint, 2026
[arXiv]
Generalized Bayes for Causal Inference
E. Javurek, D. Frauen, Yuxin Wang, S. Feuerriegel
arXiv preprint, 2026
[arXiv]
Assessing the Robustness of Heterogeneous Treatment Effects in Survival Analysis under Informative Censoring
Yuxin Wang, D. Frauen, J. Schweisthal, M. Schröder, S. Feuerriegel
arXiv preprint, 2025
[arXiv]