Gilles Gasso

1. Adaptive Canonical Correlation Analysis Based On Matrix Manifolds
   2012/06/27 by Florian Yger, Maxime Berar, Yger, Florian +6 · 3 citations
   Computer Science · Engineering · Mathematics · #Blind Source Separation Techniques #Control Systems and Identification #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #cs.LG #stat.ML
2. Partial Optimal Transport with Applications on Positive-Unlabeled\n Learning
   2020/02/19 by Laëtitia Chapel, Chapel, Laetitia, Mokhtar Z. Alaya +3 · 3 citations
   Arts and Humanities · Computer Science · Dentistry · Engineering · #Advanced Neural Network Applications #Dental Radiography and Imaging #FOS: Computer and information sciences #Forensic Anthropology and Bioarchaeology Studies #Image and Object Detection Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Imaging and Analysis
3. Screening Sinkhorn Algorithm for Regularized Optimal Transport
   2019/06/20 by Mokhtar Z. Alaya, Maxime Bérar, Alaya, Mokhtar Z. +5 · 1 citation
   Computer Science · #Complexity and Algorithms in Graphs #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Search Problems #Stochastic Gradient Optimization Techniques
4. Provably Convergent Working Set Algorithm for Non-Convex Regularized Regression
   2020/06/24 by Alain Rakotomamonjy, Rémi Flamary, Rakotomamonjy, Alain +5 · 1 citation
   Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Stochastic Gradient Optimization Techniques
5. Unbalanced Optimal Transport through Non-negative Penalized Linear Regression
   2021/06/08 by Laëtitia Chapel, Rémi Flamary, Chapel, Laetitia +7 · 1 citation
   Computer Science · Decision Sciences · Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multi-Criteria Decision Making #Numerical methods in inverse problems #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques