Algorithms
Fast Approximation of Empirical Entropy via Subsampling
The promotional video for the KDD 2019 paper: Fast Approximation of Empirical Entropy via Subsampling by Chi Wang and Bailu Ding.
InterpretML
InterpretML is an open-source python package for training interpretable models and explaining blackbox systems. Historically, the most intelligible models were not very accurate, and the most accurate models were not intelligible. Microsoft Research has developed…
Vowpal Wabbit
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning. There is a specific focus on reinforcement learning…
Invariance and Stability to Deformations of Deep Convolutional Representations
The success of deep convolutional architectures is often attributed in part to their ability to learn multiscale and invariant representations of natural signals. However, a precise study of these properties and how they affect learning…
All Data AI with Dr. Andrew Fitzgibbon
You may not know who Dr. Andrew Fitzgibbon is, but if you’ve watched a TV show or movie in the last two decades, you’ve probably seen some of his work. An expert in 3D computer…
