Robust Estimation of Data-Dependent Causal Effects based on Observing a Single Time-Series. - Mark J. van der Laan; Ivana Malenica (CoRR, 2018)

More Efficient Off-Policy Evaluation through Regularized Targeted Learning. - Aurélien Bibaut; Ivana Malenica; Nikos Vlassis; Mark J. van der Laan (ICML, 2019)

Adaptive Sequential Design for a Single Time-Series. - Ivana Malenica; Aurélien Bibaut; Mark J. van der Laan (CoRR, 2021)

Personalized Online Machine Learning. - Ivana Malenica; Rachael V. Phillips; Romain Pirracchio; Antoine Chambaz; Alan E. Hubbard; Mark J. van der Laan (CoRR, 2021)

Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare. - Jean Feng; Rachael V. Phillips; Ivana Malenica; Andrew Bishara; Alan E. Hubbard; Leo A. Celi; Romain Pirracchio (npj Digit. Medicine, 2022)

Anytime-valid inference in N-of-1 trials. - Ivana Malenica; Yongyi Guo; Kyra Gan; Stefan Konigorski (ML4H@NeurIPS, 2023)

Multi-task Highly Adaptive Lasso. - Ivana Malenica; Rachael V. Phillips; Daniel Lazzareschi; Jeremy R. Coyle; Romain Pirracchio; Mark J. van der Laan (CoRR, 2023)

Kernel Debiased Plug-in Estimation: Simultaneous, Automated Debiasing without Influence Functions for Many Target Parameters. - Brian M. Cho; Yaroslav Mukhin; Kyra Gan; Ivana Malenica (ICML, 2024)