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…
Accelerated Bregman Proximal Gradient Methods (accbpg)
A Python package of accelerated first-order algorithms for solving relatively-smooth convex optimization problems. It implements all algorithms described in our recent paper on accelerated Bregman proximal gradient methods, including the baseline algorithms for comparison. It…
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…