Castillo, Ismaël
- Posterior and variational inference for deep neural networks with heavy-tailed weights
2024/06/05 by Ismaël Castillo, Paul Egels, Castillo, Ismaël +1 · 5 citations
Computer Science · Earth and Planetary Sciences · #FOS: Computer and information sciences #FOS: Mathematics #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Seismic Imaging and Inversion Techniques #Statistics Theory (math.ST)
- Heavy-tailed Bayesian nonparametric adaptation
2023/08/09 by Agapiou, Sergios, Castillo, Ismaël · 2 citations
#62G05 #62G20 #FOS: Mathematics #Statistics Theory (math.ST)
- Empirical Bayes analysis of spike and slab posterior distributions
2018/01/05 by Castillo, Ismaël, Mismer, Romain · 1 citation
#62G20 #FOS: Mathematics #Statistics Theory (math.ST)
- Optional Pólya trees: posterior rates and uncertainty quantification
2021/10/11 by Ismaël Castillo, Castillo, Ismaël, Thibault Randrianarisoa +1 · 1 citation
Computer Science · Mathematics · #62G #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference #FOS: Mathematics #G.3 #Statistical Methods and Inference #Statistics Theory (math.ST)
- Semiparametric inference using fractional posteriors
2023/01/19 by Alice l'Huillier, Luke Travis, L'Huillier, Alice +5 · 1 citation
Computer Science · Engineering · Mathematics · #Gaussian Processes and Bayesian Inference #Control Systems and Identification #Statistical Methods and Inference
- Bayesian nonparametric statistics, St-Flour lecture notes
2024/02/26 by Ismaël Castillo, Castillo, Ismaël · 1 citation
Computer Science · #Bayesian Methods and Mixture Models