2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.IR2023
InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models
Kabir Nagrecha, Lingyi Liu, Pablo Delgado +1
Deep learning-based recommender models (DLRMs) have become an essential component of many modern recommender systems. Several companies are now building large compute clusters rese…
cs.LG2019★ 2 cited
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…