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Ivana Malenica
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Journal Articles
- 2022
- [j1]Jean Feng, Rachael V. Phillips, Ivana Malenica, Andrew Bishara, Alan E. Hubbard, Leo A. Celi, Romain Pirracchio:
Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare. npj Digit. Medicine 5 (2022)
Conference and Workshop Papers
- 2024
- [c3]Brian Cho, Yaroslav Mukhin, Kyra Gan, Ivana Malenica:
Kernel Debiased Plug-in Estimation: Simultaneous, Automated Debiasing without Influence Functions for Many Target Parameters. ICML 2024 - 2023
- [c2]Ivana Malenica, Yongyi Guo, Kyra Gan, Stefan Konigorski:
Anytime-valid inference in N-of-1 trials. ML4H@NeurIPS 2023: 307-322 - 2019
- [c1]Aurélien Bibaut, Ivana Malenica, Nikos Vlassis, Mark J. van der Laan:
More Efficient Off-Policy Evaluation through Regularized Targeted Learning. ICML 2019: 654-663
Informal and Other Publications
- 2023
- [i5]Ivana Malenica, Rachael V. Phillips, Daniel Lazzareschi, Jeremy R. Coyle, Romain Pirracchio, Mark J. van der Laan:
Multi-task Highly Adaptive Lasso. CoRR abs/2301.12029 (2023) - 2021
- [i4]Ivana Malenica, Aurélien Bibaut, Mark J. van der Laan:
Adaptive Sequential Design for a Single Time-Series. CoRR abs/2102.00102 (2021) - [i3]Ivana Malenica, Rachael V. Phillips, Romain Pirracchio, Antoine Chambaz, Alan E. Hubbard, Mark J. van der Laan:
Personalized Online Machine Learning. CoRR abs/2109.10452 (2021) - 2019
- [i2]Aurélien F. Bibaut, Ivana Malenica, Nikos Vlassis, Mark J. van der Laan:
More Efficient Off-Policy Evaluation through Regularized Targeted Learning. CoRR abs/1912.06292 (2019) - 2018
- [i1]Mark J. van der Laan, Ivana Malenica:
Robust Estimation of Data-Dependent Causal Effects based on Observing a Single Time-Series. CoRR abs/1809.00734 (2018)
Coauthor Index
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