Insole Royal slip amp; Wide Women's Washable 'bibby' Fitting Sole E Suave Blue reptile Removable Shoe Non Lightweight qf6xz Insole Royal slip amp; Wide Women's Washable 'bibby' Fitting Sole E Suave Blue reptile Removable Shoe Non Lightweight qf6xz Insole Royal slip amp; Wide Women's Washable 'bibby' Fitting Sole E Suave Blue reptile Removable Shoe Non Lightweight qf6xz

Courses a.y. 2018/2019

20596 MACHINE LEARNING
amp; Fitting slip Blue Suave Royal reptile Women's Insole 'bibby' Wide Lightweight Non Sole Removable Shoe Washable E
40334 TOPICS IN STATISTICAL AND MACHINE LEARNING

Biographical note

Daniele Durante is an Assistant Professor of Statistics at the Department of Decision Sciences of the Bocconi University, and a Research Affiliate at the Bocconi Institute for Data Science (BIDSA). His research is characterized by an interdisciplinary approach at the intersection of Bayesian methodology, modern applications, and statistical machine learning to develop flexible, interpretable and computationally tractable probabilistic representations for complex and high-dimensional data


Academic CV


Research areas

Network Data  Bayesian Nonparametrics  Tensor Factorization  Stochastic Processes  Density Regression  High Dimensional Inference  Statistical Machine Learning.


Selected publications


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