Loading Events

Past Events › YES

Events Search and Views Navigation

October 2007

YES I: "Shape Restricted Inference"

Oct 8, 2007 - Oct 10, 2007

Sponsors The Organizers would like to acknowledge the following organizations for their contributions:            Summary The workshop is directed at young statisticians who work in the area of shape restricted inference. Short courses on various aspects of the topic will be given. The participants will also have the opportunity to give short talks of about 25 minutes on their own research. Organizers Prof. P. L. Davies, University of Duisburg-Essen, Germany/Eindhoven University of Technology, Eindhoven/EURANDOM, Eindhoven Prof. G.…

Find out more »

October 2008

YES II: "High dimensional statistics"

Oct 6, 2008 - Oct 8, 2008

Sponsor Summary The workshop will be the second YES workshop. The intention of the workshop is to acquaint young statisticians (Ph.D students and post-docs) with the latest developments in the analysis of high dimensional data. Research in this area has been driven by the needs of various disciplines which have been confronted by large data sets. The availability of such data is one consequence of advances in biology, medicine, engineering, astronomy, physics and chemistry but also of the ready availability…

Find out more »

October 2009

YES III: "Paradigms of Model Choice"

Oct 5, 2009 - Oct 7, 2009

Sponsors     Summary This is the third workshop in the series of YES (Young European Statisticians) workshops. The first was held in October 2007 on Shape Restricted Inference with seminars given by Lutz Dümbgen (Bern) and Jon Wellner (Seattle) together with shorter talks by Laurie Davies (Duisburg-Essen) and Geurt Jongbloed (Delft). The second workshop was held in October 2008 on High Dimensional Statistics with seminars given by Sara van de Geer (Zürich), Nicolai Meinshausen (Oxford) and Gilles Blanchard (Berlin).…

Find out more »

January 2018

YES III: "Uncertainty Quantification"

Jan 23, 2018 - Jan 25, 2018
MF 11-12 (4th floor MetaForum Building, TU/e)

Summary Uncertainty quantification plays a central role in many areas of applied sciences, from statistics to optimization. In the broad context of statistics it is of key importance to understand how much one can trust a statistical procedure by quantifying its error as accurately as possible. This is essential for making meaningful conclusions when using any statistical procedure – the lack of a reliable description of the procedure's uncertainty will invariably lead to misleading and haphazard results with limited practical…

Find out more »

March 2018

YES IX: "Scalable Statistics: on Accuracy and Computational Complexity"

Mar 7, 2018 - Mar 9, 2018
Eurandom, Metaforum
Eindhoven, Netherlands
+ Google Map

Sponsors     Summary 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 that 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. There are several avenues…

Find out more »

March 2019

YES X : "Understanding Deep Learning: Generalization, Approximation and Optimization"

Mar 19, 2019 - Mar 22, 2019
Eurandom, Metaforum
Eindhoven, Netherlands
+ Google Map

The aim of the workshop is to give  give a balanced representation of different points of view in regards to these topics, from theory to applications, and spanning both statistics, optimization and machine learning topics.

Find out more »
+ Export Events