Bouchard, Guillaume

13 publications

JAIR 2019 On Inductive Abilities of Latent Factor Models for Relational Learning Théo Trouillon, Éric Gaussier, Christopher R. Dance, Guillaume Bouchard

JMLR 2017 Knowledge Graph Completion via Complex Tensor Factorization Théo Trouillon, Christopher R. Dance, Éric Gaussier, Johannes Welbl, Sebastian Riedel, Guillaume Bouchard

ICML 2016 Complex Embeddings for Simple Link Prediction Théo Trouillon, Johannes Welbl, Sebastian Riedel, Eric Gaussier, Guillaume Bouchard

ICLR 2014 Group-Sparse Embeddings in Collective Matrix Factorization Arto Klami, Guillaume Bouchard, Abhishek Tripathi

UAI 2014 Iterative Splits of Quadratic Bounds for Scalable Binary Tensor Factorization Beyza Ermis, Guillaume Bouchard

AISTATS 2013 Convex Collective Matrix Factorization Guillaume Bouchard, Dawei Yin, Shengbo Guo

ECML-PKDD 2013 Error Prediction with Partial Feedback William Darling, Cédric Archambeau, Shachar Mirkin, Guillaume Bouchard

AISTATS 2012 Fast Variational Bayesian Inference for Non-Conjugate Matrix Factorization Models Matthias Seeger, Guillaume Bouchard

AISTATS 2011 Robust Bayesian Matrix Factorisation Balaji Lakshminarayanan, Guillaume Bouchard, Cedric Archambeau

NeurIPS 2010 Variational Bounds for Mixed-Data Factor Analysis Mohammad Emtiyaz Khan, Guillaume Bouchard, Kevin P. Murphy, Benjamin M. Marlin

NeurIPS 2009 Asymptotically Optimal Regularization in Smooth Parametric Models Percy Liang, Guillaume Bouchard, Francis R. Bach, Michael I. Jordan

ICML 2009 Split Variational Inference Guillaume Bouchard, Onno Zoeter

CVPR 2005 Hierarchical Part-Based Visual Object Categorization Guillaume Bouchard, Bill Triggs