6 citations · 6 across the 1 of their papers we have counts for
3 papers
Elastic Net Regularization Paths for All Generalized Linear Models
J. Kenneth Tay, Balasubramanian Narasimhan, Trevor Hastie
The lasso and elastic net are popular regularized regression models for supervised learning. Friedman, Hastie, and Tibshirani (2010) introduced a computationally efficient algorith…
A Scalable Discrete-Time Survival Model for Neural Networks
Michael F. Gensheimer, Balasubramanian Narasimhan
There is currently great interest in applying neural networks to prediction tasks in medicine. It is important for predictive models to be able to use survival data, where each pat…
Imputation of mixed data with multilevel singular value decomposition
François Husson, Julie Josse, Balasubramanian Narasimhan +1
Statistical analysis of large data sets offers new opportunities to better understand many processes. Yet, data accumulation often implies relaxing acquisition procedures or compou…