3 citations · 5 across the 3 of their papers we have counts for
3 papers
Probabilistic Latent Tensor Factorization Model for Link Pattern Prediction in Multi-relational Networks
Sheng Gao, Ludovic Denoyer, Patrick Gallinari
This paper aims at the problem of link pattern prediction in collections of objects connected by multiple relation types, where each type may play a distinct role. While common lin…
Modeling Relational Data via Latent Factor Blockmodel
Sheng Gao, Ludovic Denoyer, Patrick Gallinari
In this paper we address the problem of modeling relational data, which appear in many applications such as social network analysis, recommender systems and bioinformatics. Previou…
Fast Reinforcement Learning with Large Action Sets using Error-Correcting Output Codes for MDP Factorization
Gabriel Dulac-Arnold, Ludovic Denoyer, Philippe Preux +1
The use of Reinforcement Learning in real-world scenarios is strongly limited by issues of scale. Most RL learning algorithms are unable to deal with problems composed of hundreds…