|NeurIPS 2019 is over and, not surprisingly, this newsletter contains quite a lot of material fresh from Vancouver. Enjoy the holidays!|
Our picks of the week
|NeurIPS 2019 Stats|
Ever wondered who got the most papers accepted at NeurIPS. Well, here is your answer:
All the stats you (did not) want to know about NeurIPS 2019. Nice blog post by Diego Charrez.
Here is the link.
|Fast.ai nbdev launch post|
Exploratory programming. A concept that finds its applications in the Fast.ai coding mines.
Here, nbdev is an in-house framework to use Jupyter Notebooks for everything.
Here is the link.
|Fast.ai nbdev tutorial|
Because the launch post got quite some feedback. Jeremy Howard and friends decided to
write a nice tutorial article about nbdev and how to use it.
Get me to the tutorial
|Mathematics for Machine Learning|
A very nice and free (e)book that is worth going through if you have some time
at your hands. Written by well-known and respected researchers.
Here is the book.
|NeurIPS 2019 Awards|
Below is a list of paper awards for the recent NeurIPS 2019 conference.
Outstanding Paper Award
Distribution-Independent PAC Learning of Halfspaces with Massart Noise
Outstanding New Directions Paper Award
Uniform convergence may be unable to explain generalization in deep learning
Honorable Mention Outstanding Paper Award
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM LossesFast and Accurate Least-Mean-Squares Solvers
Honorable Mention Outstanding New Directions Paper Award
Putting An End to End-to-End: Gradient-Isolated Learning of RepresentationsScene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
Test of Time Award
Dual Averaging Method for Regularized Stochastic Learning and Online Optimization