Stéphane Gaïffas
- AMF: Aggregated Mondrian Forests for Online Learning
2019/06/25 by Jaouad Mourtada, Stéphane Gaïffas, Mourtada, Jaouad +3 · 4 citations
Computer Science · #Data Stream Mining Techniques #Face and Expression Recognition #Domain Adaptation and Few-Shot Learning
- Uncovering Causality from Multivariate Hawkes Integrated Cumulants
2016/07/21 by Massil Achab, Emmanuel Bacry, Achab, Massil +7 · 3 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Diffusion and Search Dynamics #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Point processes and geometric inequalities
- Adaptive estimation of the conditional intensity of marker-dependent counting processes
2008/10/23 by Fabienne Comte, Stéphane Gaïffas, Comte, F. +3 · 2 citations
Mathematics · Computer Science · #Statistical Methods and Inference #Bayesian Methods and Mixture Models #Markov Chains and Monte Carlo Methods
- An improper estimator with optimal excess risk in misspecified density estimation and logistic regression
2019/12/23 by Jaouad Mourtada, Stéphane Gaïffas, Mourtada, Jaouad +1 · 2 citations
Computer Science · Mathematics · #Advanced Statistical Methods and Models #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistical Methods and Inference #Statistics Theory (math.ST)
- Hyper-sparse optimal aggregation
2009/12/08 by Stéphane Gaïffas, Gaïffas, Stéphane, Guillaume Lecué +1 · 1 citation
Computer Science · #Advanced Clustering Algorithms Research #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (stat.ML) #Neural Networks and Applications
- Sharp oracle inequalities for the prediction of a high-dimensional matrix
2010/08/28 by Stéphane Gaïffas, Guillaume Lecué, Gaïffas, Stéphane +1 · 1 citation
Computer Science · Engineering · Mathematics · #Blind Source Separation Techniques #FOS: Mathematics #Numerical methods in inverse problems #Sparse and Compressive Sensing Techniques #Statistics Theory (math.ST)
- Convergence rates for pointwise curve estimation with a degenerate design
2004/10/15 by Stéphane Gaïffas, Gaiffas, Stéphane · 1 citation
Mathematics · Decision Sciences · #Statistical Methods and Inference #Optimal Experimental Design Methods
- High-dimensional robust regression and outliers detection with SLOPE
2017/12/07 by Alain Virouleau, Virouleau, Alain, Agathe Guilloux +5 · 1 citation
Decision Sciences · Mathematics · #62H15 #62J07 #Advanced Statistical Methods and Models #FOS: Computer and information sciences #Machine Learning (stat.ML) #Primary 62J05 #Probabilistic and Robust Engineering Design #Secondary 62F35 #Statistical Methods and Inference
- Convergence and concentration properties of constant step-size SGD through Markov chains
2023/06/20 by Ibrahim Merad, Merad, Ibrahim, Stéphane Gaïffas +1 · 1 citation
Mathematics · Medicine · #Advanced Neuroimaging Techniques and Applications #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Optimization and Control (math.OC) #Point processes and geometric inequalities