Links
Journals / Conferences / Workshops
The Journal of Privacy and Confidentiality (JPC): https://journalprivacyconfidentiality.org/
Theory and Practice of Differential Privacy Workshop: https://tpdp.journalprivacyconfidentiality.org/
Transactions on Data Privacy: http://www.tdp.cat/
Privacy Enhancing Technologies Symposium (PETS): https://petsymposium.org/
Mathematical Statistics and Learning: https://ems.press/journals/msl
Blogs
Francis Bach: https://francisbach.com/
How residue formular from complex analysis made easy conducting spectral analysis: https://francisbach.com/cauchy-residue-formula/
Larry Wasserman: https://normaldeviate.wordpress.com/about/
Stein's method: https://normaldeviate.wordpress.com/2013/11/16/steins-method/
...
Lectures
Moritz Hardt, Convex optimization course at Berkely EECS: https://ee227c.github.io/
Eugenia Malinnikova, Real Analysis course at Stanford: https://web.stanford.edu/~eugeniam/math205a-19.html
https://people.math.wisc.edu/~roch/hdps/notes.html
Some Useful Tips
LaTex in VS Code: 성균관대학교 수학과 김장수 교수님 강의
Markdown in VS Code
https://marketplace.visualstudio.com/items?itemName=yzhang.markdown-all-in-one
Learning Vim
Learning and setting Neovim
https://www.jakewiesler.com/blog/getting-started-with-vim
https://youtu.be/36o52-2_83M
Recommended Texts from UC Berkeley Statistics Graduate Student Association
https://thecoatlessprofessor.com/academia/book-recommendations/
Rcpp
https://awllee.github.io/sc1/ and https://mfasiolo.github.io/sc2-2019/
https://pat-s.me/transitioning-from-x86-to-arm64-on-macos-experiences-of-an-r-user/#gfortran
Mac M1에서 Rcpp 사용할 때 gfortran 에러 발생시 위 링크 Version 1을 따라하면 해결된다.
R
CRAN Task Views: https://cran.r-project.org/web/views/
Python
https://evols-atirev.tistory.com/31
VS Code에서 python 기본 셋팅
Julia
Visualization
Quarto
https://www3.ntu.edu.sg/home/ehchua/programming/
programming lectures
DP resources
Programming Differential Privacy, written by Joseph P. Near and Chiké Abuah
https://programming-dp.com/index.html