rnorm
Appendix - " Learning Causal Effects via Weighted Empirical Risk Minimization "
The following notations are used throughout this paper. Each variable will be represented with a capital letter (X) and its realized value with the small letter (x).
Appendix - " Learning Causal Effects via Weighted Empirical Risk Minimization "
The following notations are used throughout this paper. Each variable will be represented with a capital letter (X) and its realized value with the small letter (x).
Secure multi-party linear regression at plaintext speed
We detail a scheme for scalable, distributed, secure multiparty linear regression at essentially the same speed as plaintext regression. While the core ideas are simple, the recognition of their broad utility when combined is novel. By leveraging a recent advance in secure multiparty principal component analysis, our scheme opens the door to efficient and secure genome-wide association studies across multiple biobanks.
Python Vs R : The Eternal Question for Data Scientists
At least 6k out of the packages on PyPI are focused on data science.