Morvant, Emilie

1. A New PAC-Bayesian Perspective on Domain Adaptation
   2015/06/15 by Pascal Germain, Amaury Habrard, Germain, Pascal +5 · 8 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and ELM
2. A survey on domain adaptation theory: learning bounds and theoretical guarantees
   2020/04/24 by Ievgen Redko, Emilie Morvant, Redko, Ievgen +7 · 7 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
3. Majority Vote of Diverse Classifiers for Late Fusion
   2014/04/30 by Morvant, Emilie, Habrard, Amaury, Ayache, Stéphane · 5 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimedia (cs.MM)
4. A General Framework for the Practical Disintegration of PAC-Bayesian Bounds
   2021/02/16 by Paul Viallard, Pascal Germain, Viallard, Paul +5 · 5 citations
   Computer Science · Engineering · #Machine Learning and Algorithms #Fault Detection and Control Systems #Adversarial Robustness in Machine Learning
5. On Generalizing the C-Bound to the Multiclass and Multi-label Settings
   2015/01/13 by François Laviolette, Emilie Morvant, Laviolette, Francois +5 · 1 citation
   Computer Science · #Advanced Algebra and Logic #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
6. Metric Learning from Imbalanced Data
   2019/09/04 by Léo Gautheron, Emilie Morvant, Gautheron, Léo +5 · 1 citation
   Computer Science · Engineering · #FOS: Computer and information sciences #Face and Expression Recognition #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Vehicle License Plate Recognition
7. Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures
   2024/02/19 by Paul Viallard, Viallard, Paul, Rémi Emonet +7 · 1 citation
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference