For the list of most up to date work, please see my Google Scholar page.

Select Recent Work:

Adaptive sequential surveillance with network and temporal dependence.
I. Malenica, J.R. Coyle, M.J. van der Laan, and M.L. Petersen.
Biometrics, 2023.
Available here.

Anytime-valid inference in n-of-1 trials.
I. Malenica, Y. Guo, K. Gan, and S. Konigorski.
Proceedings of Machine Learning Research, 2023.
Available here.

Causality in goal conditioned RL: Return to no future?
I. Malenica, and S. Murphy.
NeurIPS Workshop on Goal-Conditioned Reinforcement Learning, 2023.
Paper selected for an Oral Presentation (top 6 papers)!
Available here.

Personalized online ensemble machine learning with applications for dynamic data streams.
I. Malenica+, R.V. Phillips+, A. Chambaz, A.E. Hubbard, R. Pirracchio, and M.J. van der Laan.
Statistics in Medicine, 2023.
Available here.

Multi-task highly adaptive lasso.
I. Malenica, R.V. Phillips, R. Pirracchio, and M.J. van der Laan.
arXiv preprint, 2023.
Available here.

Kernel debiased plug-in estimation.
B. Cho, Y. Mukhin, K. Gan and I. Malenica
arXiv preprint, 2023.
18th INFORMS DMDA Workshop Best Paper Award Finalists – Theoretical Track (top 5 papers)!
Available here.

Adaptive sequential design for a single time-series.
I. Malenica, A.F. Bibaut, and M.J. van der Laan.
arXiv preprint, 2022.
Available here.