Recently I went to the useR 2019 conference in Toulouse, which is the yearly international meeting of R package developers. The talk schedule with links to slides is already online.
Here is a summary of the most interesting talks I saw during the conference:
- Torsten Hothorn, Transformation models tutorial on packages tram, mlt, trtf.
- Anqi Fu and Naras, CVXR is for disciplined convex optimization.
- Michela Battauz, video, regIRT for L1-regularized Item Response Theory models. Fused lasso type penalty that forces coefficients for all choices to go together.
- Julie Josse, video, interesting paper about supervised learning with missing values
- Eric Lecoutre, slides comparing machine learning packages.
- Erin LeDell, video, benchmarking ML systems.
- Michel Lang, video, mlr3 machine learning framework.
- Bernd Bischl, video, mlr3pipelines
- Tomas Kalibera, video, slides on sustainable package development.
- Perry de Valpine, video, slides about nCompiler, write a subset of R code that is compiled to C++ (and supports auto-differentiation). Also NIMBLE for Bayesian modeling.
- Robert Crouchley, video, slides about RcppEigenAD for auto-differentiation.
- Radford Neal, pqR now has auto-differentiation as well, blog.
- Zbynek Slajchrt, video, slides about FastR.
- Arun Srinivasan, video, slides about improvements in data.table and the .SDcols feature.
- Jim Hester, video, slides about fast vroom CSV reader.
- Gabor Csardi, video, slides about pak, parallel alternative to install.packages function.
- Henrik Bengtsson, video, slides about progressr API for progress display and future parallel computing framework.