Nima S. Hejazi

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 14

Top Topics

Machine Learning

Top Venues

J. Open Source Softw.

J. Comput. Graph. Stat.

Publications

Razieh Nabi, Nima S. Hejazi, Mark J. van der Laan, David C. Benkeser
Statistical learning for constrained functional parameters in infinite-dimensional models with applications in fair machine learning. CoRR (2024)
Philippe Boileau, Nima S. Hejazi, Mark J. van der Laan, Sandrine Dudoit
Cross-Validated Loss-based Covariance Matrix Estimator Selection in High Dimensions. J. Comput. Graph. Stat. 32 (2) (2023)
Nima S. Hejazi, Kara E. Rudolph, Iván Díaz
'medoutcon': Nonparametric efficient causal mediation analysis with machine learning in 'R'. J. Open Source Softw. 7 (69) (2022)
Nima S. Hejazi, Mark J. van der Laan, David C. Benkeser
'haldensify': Highly adaptive lasso conditional density estimation in 'R'. J. Open Source Softw. 7 (78) (2022)
Nima S. Hejazi, Wenjing Zheng, Sathya Anand
A framework for causal segmentation analysis with machine learning in large-scale digital experiments. CoRR (2021)
Philippe Boileau, Nima S. Hejazi, Brian Collica, Mark J. van der Laan, Sandrine Dudoit
cvCovEst: Cross-validated covariance matrix estimator selection and evaluation in R. J. Open Source Softw. 6 (63) (2021)
Philippe Boileau, Nima S. Hejazi, Sandrine Dudoit
scPCA: A toolbox for sparse contrastive principal component analysis in R. J. Open Source Softw. 5 (46) (2020)
Nima S. Hejazi, Jeremy R. Coyle, Mark J. van der Laan
hal9001: Scalable highly adaptive lasso regression in R. J. Open Source Softw. 5 (53) (2020)
Philippe Boileau, Nima S. Hejazi, Sandrine Dudoit
Exploring high-dimensional biological data with sparse contrastive principal component analysis. Bioinform. 36 (11) (2020)
Nima S. Hejazi, David C. Benkeser
txshift: Efficient estimation of the causal effects of stochastic interventions in R. J. Open Source Softw. 5 (54) (2020)
Weixin Cai, Alan E. Hubbard, Nima S. Hejazi
adaptest: Data-Adaptive Statistics for High-Dimensional Testing in R. J. Open Source Softw. 3 (30) (2018)
Nima S. Hejazi, Rachael V. Phillips, Alan E. Hubbard, Mark J. van der Laan
: Targeted, robust, and model-free differential methylation analysis in R. F1000Research 7 (2018)
Jeremy R. Coyle, Nima S. Hejazi
origami: A Generalized Framework for Cross-Validation in R. J. Open Source Softw. 3 (21) (2018)
Nima S. Hejazi, Weixin Cai, Alan E. Hubbard
biotmle: Targeted Learning for Biomarker Discovery. J. Open Source Softw. 2 (15) (2017)