10 citations · 13 across the 2 of their papers we have counts for
Showing 2016Show all
2 papers · 1 filter
cs.LG2016
Training Deep Nets with Sublinear Memory Cost
Tianqi Chen, Bing Xu, Chiyuan Zhang +1
We propose a systematic approach to reduce the memory consumption of deep neural network training. Specifically, we design an algorithm that costs O(sqrt(n)) memory to train a n la…
cs.LG2016
XGBoost: A Scalable Tree Boosting System
Tianqi Chen, Carlos Guestrin
Tree boosting is a highly effective and widely used machine learning method. In this paper, we describe a scalable end-to-end tree boosting system called XGBoost, which is used wid…