Nima S. Hejazi

Orcid: 0000-0002-7127-2789

According to our database1, Nima S. Hejazi authored at least 14 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Statistical learning for constrained functional parameters in infinite-dimensional models with applications in fair machine learning.
CoRR, 2024

2023
Cross-Validated Loss-based Covariance Matrix Estimator Selection in High Dimensions.
J. Comput. Graph. Stat., April, 2023

2022
'medoutcon': Nonparametric efficient causal mediation analysis with machine learning in 'R'.
J. Open Source Softw., 2022

'haldensify': Highly adaptive lasso conditional density estimation in 'R'.
J. Open Source Softw., 2022

2021
cvCovEst: Cross-validated covariance matrix estimator selection and evaluation in R.
J. Open Source Softw., 2021

A framework for causal segmentation analysis with machine learning in large-scale digital experiments.
CoRR, 2021

2020
hal9001: Scalable highly adaptive lasso regression in R.
J. Open Source Softw., 2020

txshift: Efficient estimation of the causal effects of stochastic interventions in R.
J. Open Source Softw., 2020

scPCA: A toolbox for sparse contrastive principal component analysis in R.
J. Open Source Softw., 2020

Exploring high-dimensional biological data with sparse contrastive principal component analysis.
Bioinform., 2020

2018
origami: A Generalized Framework for Cross-Validation in R.
J. Open Source Softw., 2018

adaptest: Data-Adaptive Statistics for High-Dimensional Testing in R.
J. Open Source Softw., 2018

<i>methyvim</i>: Targeted, robust, and model-free differential methylation analysis in R.
F1000Research, 2018

2017
biotmle: Targeted Learning for Biomarker Discovery.
J. Open Source Softw., 2017


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