Nicolas Vayatis
- Selective review of offline change point detection methods
2018/01/31 by Charles Truong, Laurent Oudre, Nicolas Vayatis · 55 citations
Biochemistry, Genetics and Molecular Biology · Economics, Econometrics and Finance · Mathematics · #Financial Risk and Volatility Modeling #Metabolomics and Mass Spectrometry Studies #Statistical Methods and Inference
- Ranking and empirical minimization of U-statistics
2006/03/05 by Stéphan Clémençon, Clémençon, Stéphan, Gábor Lugosi +3 · 8 citations
Computer Science · #60G99 #62G99 #62M99 #68Q32 #Bayesian Methods and Mixture Models #Data Management and Algorithms #FOS: Mathematics #Face and Expression Recognition #Statistics Theory (math.ST)
- Global optimization of Lipschitz functions
2017/03/07 by Cédric Malherbe, Malherbe, Cédric, Nicolas Vayatis +1 · 9 citations
Decision Sciences · Mathematics · Computer Science · #Advanced Bandit Algorithms Research #Advanced Optimization Algorithms Research #Machine Learning and Algorithms
- ruptures: change point detection in Python
2018/01/02 by Charles Truong, Laurent Oudre, Truong, Charles +3 · 7 citations
Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #Mathematical Software (cs.MS) #Statistical Methods and Inference
- Estimation of Simultaneously Sparse and Low Rank Matrices
2012/06/27 by Émile Richard, Richard, Emile, Pierre-André Savalle +3 · 4 citations
Computer Science · Engineering · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Sparse and Compressive Sensing Techniques
- Nonparametric Markovian Learning of Triggering Kernels for Mutually Exciting and Mutually Inhibiting Multivariate Hawkes Processes
2014/05/16 by Rémi Lemonnier, Remi Lemonnier, Lemonnier, Remi +2 · 4 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Diffusion and Search Dynamics #FOS: Mathematics #Point processes and geometric inequalities #Probability (math.PR) #Statistical Methods and Bayesian Inference #math.PR
- Gaussian Process Optimization with Mutual Information
2013/11/19 by Emile Contal, Contal, Emile, Vianney Perchet +3 · 3 citations
Computer Science · Decision Sciences · Mathematics · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.LG #stat.ML
- Robust Kernel Density Estimation with Median-of-Means principle
2020/06/30 by Pierre Humbert, Humbert, Pierre, Batiste Le Bars +5 · 2 citations
Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistical Methods and Inference #Statistics Theory (math.ST)
- Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization
2023/09/27 by Antoine de Mathelin, de Mathelin, Antoine, François Deheeger +5 · 2 citations
Computer Science · Mathematics · #Advanced Statistical Methods and Models #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Deep Anti-Regularized Ensembles provide reliable out-of-distribution uncertainty quantification
2023/04/08 by Antoine de Mathelin, François Deheeger, de Mathelin, Antoine +5 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification #Anomaly Detection Techniques and Applications
- A Model for Imbalanced Label Aggregation: A Focus on Minority-Class Detection
2026/07/27 by Gabriel Singer, Samuel Gruffaz, Olivier Vo Van +2
Computer Science · Mathematics · #stat.ML #cs.LG