Research
You can also find my published work as well as (most of) my working papers on my Google Scholar profile.
Publications
Mueller, M., Gruber, K. & Fok, D. (2025). Continuous Diffusion for Mixed-Type Tabular Data. The Thirteenth International Conference on Learning Representations. [Proceedings, other files ]
Camehl, A., Fok, D. & Gruber, K. (2025). On superlevel sets of conditional densities and multivariate quantile regression, Journal of Econometrics, 249. [doi: 10.1016/j.jeconom.2024.105807, other files ]
Mair, P. & Gruber, K. (2022). Bayesian Explanatory Additive IRT Models. British Journal of Mathematical and Statistical Psychology, 75(1), 59-87. [doi: 10.1111/bmsp.12245, other files]
Reutterer, T., March, N,. Hornik, K. & Gruber, K. (2016). A Data Mining Framework for Targeted Category Promotions. Journal of Business Economics, 87 (3), 337-358. [doi: 10.1007/s11573-016-0823-7]
Andreas, M., Kuessel, L., Kastl, S.P., Wirth, S., Gruber, K., Rhomberg, F., Gomari-Grisar, F.A., Franz, M., Zeisler, H. & Gottsauner-Wolf, M. (2016). Bioimpedance cardiography in pregnancy: A longitudinal cohort study on hemodynamic pattern and outcome. BMC Pregnancy and Childbirth, 16(1), 128. [doi: 10.1186/s12884-016-0918-8]
Mair, P., Hofmann, E., Gruber, K., Hatzinger, R., Zeileis, A. & Hornik, K. (2015). Motivation, values, and work design as drivers of participation in the R open source project for statistical computing. Proceedings of the National Academy of Sciences, 112 (48), 14788–14792. [doi.org/10.1073/pnas.1506047112, other files]
Maca, S., Amirian, A., Prause, C., Gruber, K., Mejdoubi, L. & Barisani- Asenbauer, T. (2012). Understanding the impact of uveitis on health-related quality of life in adolescents. Acta Ophthalmologica, 91 (3): 219–224. [doi: 10.1111/aos.12016]
Maca, S., Schiesser, A.W., Sobala, A., Gruber, K., Pakesch, G., Prause, C. & Barisani-Asenbauer, T. (2010). Distress, depression and coping in HLA-B27-associated anterior uveitis with focus on gender differences. British Journal of Ophthalmology, 95 (9): 699–704. [doi: 10.1136/bjo.2009.174839]
Working Papers
Gruber, K. & De Vreede, J.: Conversion attribution under uncertainty - A deep sub-ensemble approach.
Camehl, A. & Gruber, K.: A conformal level-set method for multiple-output panel quantiles.
Mueller, M., Gruber, K. & Fok, D.: Prior-informed flow matching for longitudinal causal inference.
Meiring, W., Frasincar, F., & Gruber, K.: AC4RAG: Agentic chunking for retrieval-augmented generation.
De Vreede, J. & Gruber, K.: Continuous learning for mixture cure models in a real-time-bidding environment.
Ongoing Projects
Mueller, De Vreede, J. & M., Gruber, K.: A joint embedding predictive architecture for product basket completion.
Gruber, K. & Mair, P.: On prior choices in Bayesian regression models.
Schoonees, P., Groenen, P. & Gruber, K.: Quadratic majorization of categorical response models.
Software
Mair, P., Rosseel, Y. & Gruber, K. (2023). CRAN Task view: Psychometric models and methods.
Rusch, T., Gruber, K., Wurzer, M. & Tritchler, D. (2023). Chain graph models in R.