Research
You can also find my published work as well as (most of) my working papers on my Google Scholar profile.
Publications
Vicente, M.T., Hagen, E., van Breukelen, E., van de Vijver, Q. & Gruber, K. (2026) MTL-MHOL: Predicting Online Conversions under Delayed Feedback and Data Sparsity. Transactions on Machine Learning Research. [Open review, other files]
Mueller, M., Gruber, K. & Fok, D. (2026). Cascaded Flow Matching for Heterogeneous Tabular Data with Mixed-Type Features. The Forty-Third International Conference on Machine Learning. [Open review, other files]
Mueller, M., Gruber, K. & Fok, D. (2025). Continuous Diffusion for Mixed-Type Tabular Data. The Thirteenth International Conference on Learning Representations. [Open review, 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
Meiring, W., Frasincar, F., & Gruber, K.: AC4RAG: Agentic chunking for retrieval-augmented generation. (Under Review)
Camehl, A. & Gruber, K.: A conformal level-set method for multiple-output panel quantiles.
Gruber, K. & De Vreede, J.: Conversion attribution under uncertainty - A deep sub-ensemble approach.
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.
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.