Émile Richard

1. A statistical model for tensor PCA
   2014/11/04 by Andrea Montanari, Montanari, Andrea, Émile Richard +1 · 17 citations
   Computer Science · Engineering · Mathematics · #Blind Source Separation Techniques #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Tensor decomposition and applications
2. Non-negative Principal Component Analysis: Message Passing Algorithms\n and Sharp Asymptotics
   2014/06/18 by Andrea Montanari, Montanari, Andrea, Émile Richard +1 · 3 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Blind Source Separation Techniques #FOS: Computer and information sciences #FOS: Mathematics #Gene expression and cancer classification #Information Theory (cs.IT) #Sparse and Compressive Sensing Techniques #Statistics Theory (math.ST)
3. Tight convex relaxations for sparse matrix factorization
   2014/07/19 by Émile Richard, Richard, Emile, Guillaume Obozinski +3 · 1 citation
   Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Blind Source Separation Techniques #Matrix Theory and Algorithms