22 citations · 26 across the 3 of their papers we have counts for
3 papers
Developing a Recommendation Benchmark for MLPerf Training and Inference
Carole-Jean Wu, Robin Burke, Ed H. Chi +4
Deep learning-based recommendation models are used pervasively and broadly, for example, to recommend movies, products, or other information most relevant to users, in order to enh…
Gradient Boosted Decision Tree Neural Network
Mohammad Saberian, Pablo Delgado, Yves Raimond
In this paper we propose a method to build a neural network that is similar to an ensemble of decision trees. We first illustrate how to convert a learned ensemble of decision tree…
Beta Survival Models
David Hubbard, Benoit Rostykus, Yves Raimond +1
This article analyzes the problem of estimating the time until an event occurs, also known as survival modeling. We observe through substantial experiments on large real-world data…