YES IX “Scalable Statistics: on accuracy, computational complexity and privacy”
Date: March 7-9, 2018
Location: Eurandom, Eindhoven University of Technology
Organization: P.J. Serra (TUe), J. Bierkens (TUD), R. Castro (TUe), B. Szabo (LEI)
The role of scalable inference methods is becoming more and more central in statistics and machine learning due to an explosive increase in size and complexity of datasets. In such large-scale and complex scenarios there is, in a practical sense, a diminishing relevance of classic statistical methods that despite being endowed with sound statistical performance guarantees are not able to deal with the computational and memory constraints imposed by the existing hardware.
For more information: YES IX