A series of lectures in statistics held at different venues in the Netherlands, featuring international and local speakers from the full width of the statistical sciences. Join us to discover new insights and meet new friends!
Check the upcoming seminar, read about the organisation or browse previous editions.
15:00-16.00 Mark van der Wilk (Oxford)
16:00-16:15 Coffee break
16:15-17:15 Tapio Helin (LUT University)
17:15- Drinks
Mark van der Wilk: Bayesian Model Selection from Gaussian Processes to Deep Neural Networks
Developing a machine learning method requires specifying an inductive bias, which determines how the model should generalise given a finite training dataset. In neural networks, this is specified by the model architecture, and different architectures are appropriate for different problems. We investigate to what extent inductive bias (and therefore architecture) can be determined from the dataset, which would reduce the need for human intervention and design in machine learning, as well as improving generalisation. We argue that Baysian model selection is a natural approach to this problem and show how this can be operationalised, starting with learning invariances in Gaussian processes, and following on how approximate methods work for determining architecture of deep neural networks. We will close with speculations on how ideas from Bayesian statistics and Deep Gaussian Processes can help deep learning, and a summary of some open problems.
Tapio Helin: Next frontier of Bayesian Inverse Problems: Optimal Experimental Design
Data collection, whether in field experiments or in the laboratory, is often restricted by limited resources. It can be difficult, expensive and time-consuming, which puts severe limits on the quality of data acquired. Bayesian inference provides a principled approach to quantify and optimise the information gained from any given experimental setup. However, the required computational effort in large-scale inverse problems still remains prohibitive. In this talk I give an overview on the recent development and future prospects on Bayesian OED in imaging.
The Van Dantzig seminar is a nationwide series of lectures in statistics, which features renowned international and local speakers, from the full width of the statistical sciences. The name honours David van Dantzig (1900-1959), who was the first modern statistician in the Netherlands, and professor in the “Theory of Collective Phenomena” (i.e. statistics) in Amsterdam. The seminar will convene 4 to 6 times a year at varying locations, and is supported financially by among others the STAR cluster and the Section Mathematical Statistics of the VVSOR.
If you have any comments, questions, requests, suggestions etc. please contact the organizers.
Frank van der Meulen (VU Amsterdam)
Hanne Kekkonen (TU Delft)
Mathisca de Gunst (VU Amsterdam)
Geurt Jongbloed (TU Delft)
Aad van der Vaart (TU Delft)
Biography of David van Dantzig from MacTutor History of Mathematics archive
David van Dantzig’s statistical work by J. Hemelrijk
The Statistical Work of David Van Dantzig (1900-1959) by J. Hemelrijk
November 22 (TU Delft)
Angelika Rohde (Universität Freiburg)
Thomas Verdebout (Université Libre de Bruxelles)
October 4 (Vrije Universiteit Amsterdam)
Veronika Rockova (Booth School of Business at the University of Chicago)
Paul Doukhan (Cergy-Paris Université): Weak dependence, properties and some applications
Friday, June 7 2024 (TU Delft)
Ismaël Castillo (LPSM, Sorbonne Université): A tale of heavy tails
Jana de Wiljes (TU Ilmenau): Data assimilation: theory, algorithms and applications
April 12, 2024
Sara van de Geer (ETH Zurich): Rates of convergence for tensor denoising
Michael Sørensen (University of Copenhagen): Models of time series of angular data: diffusion processes on the torus
Ernst Wit (Universita della Svizzera italiana): From Toegepaste Statistiek to Causality and back
February 2, 2024
Yannick Baraud (University of Luxembourg): From robust tests to robust Bayes-like posterior distributions
Siem Jan Koopman (VU Amsterdam): Nonlinear non-Gaussian state space models
University of Amsterdam
December 1, 2023
Sofia Olhede (EPFL) – On Graph Limits as Models for Interaction Data
Björn Sprungk (TU Bergakademie Freiberg) – Noise-level robust sampling and Bayesian inference on the sphere
Delft University of Technology
September 29, 2023
Mark Podolskij (University of Luxembourg)
Saskia le Cessie (Department of Clinical Epidemiology and Department of Biomedical Data Sciences, Leiden University Medical Center)
VU Amsterdam
June 2, 2023
Francois Carron (Oxford),
Christian Robert (Paris-Dauphine)
CWI
April 14, 2023
Bärbel Finkenstädt (Warwick)
Randolf Altmeyer (Cambridge)
Delft University of Technology
February 10, 2023
Judith Rousseau (Oxford)
Chris Sherlock (Lancaster)
VU Amsterdam
December 16, 2022
Speakers: Aretha Teckentrub, Christophe Giraud
University of Amsterdam
June 17, 2022
Speakers: Rajen Shah, Alexis Derumigny
VU Amsterdam
October 22, 2021
Speakers: Sophie Langer, Robert Scheichl
Delft University of Technology
April 30, 2021
Speakers: Ryan Martin, Aaron Smith
Online
October 16, 2020
Speakers: Fadoua Balabdaoui, Yoav Zemel
Online
February 14, 2020
Speakers: Domenico Marinucci, Thomas Nagler
Delft University of Technology
November 29, 2019
Speakers: Gareth Roberts, Holger Dette
VU Amsterdam
October 18, 2019
Speakers: Julio Backhoff, Nestor Parolya
Leiden University
May 24, 2019
Speakers: Louis Aslett, Adrien Saumard
Delft University of Technology
April 5, 2019
Speakers: Lorenzo Rosasco, Chris Oates, Paul Fearnhead
VU Amsterdam
15 February 2019
Speakers: Carola-Bibiane Schönlieb, Antonietta Mira
University of Amsterdam
7 December 2018
Speakers: Christoph Brune, Olga Klopp
Leiden University
26 October 2018
Speakers: Gerard Kerkyacharian, Stefan Sommer
Delft University of Technology
28 September 2018
Speakers: Rui Castro , Estate Khmaladze
VU Amsterdam
25 May 2018
Speakers: Ed George , Barry Schouten
University of Amsterdam
9 March 2018
Speakers: David Dunson , Quentin Berthet
Leiden University
26 January 2018
Speakers: Geert Molenberghs, Alexandre Tsybakov
Delft University of Technology
15 December 2017
Speakers: Petros Dellaportas, Catherine Matias
VU Amsterdam
13 October 2017
Speakers: Andrew Parnell, Alberto Roverato
University of Amsterdam
2 June 2017
Speakers: Elisabeth Gassiat, Johanna Ziegel
Leiden University
6 April 2017
Speakers: Tatyana Krivobokova, Botond Szabó
Delft University of Technology
27 January 2017
Speakers: Cun-Hui Zhang, Eric Moulines
University of Amsterdam
2 December 2016
Speakers: Alexandra Carpentier, Alois Kneip
VU Amsterdam
26 October 2016
Speakers: Jim Griffin, Jakob Söhl
Leiden University
24 June 2016
Speakers: Axel Munk, Gilles Blanchard
University of Amsterdam
1 April 2016
Speakers: Omiros Papaspiliopoulos, Cristina Butucea
Delft University of Technology
26 February 2016
Speakers: Iain Johnstone, Jelle Goeman, Kolyan Ray
VU Amsterdam
8 October 2015
Speakers: Martin Wainwright, Wolfgang Polonik, Giulia Cereda
Leiden University
16 April 2015
Speakers: Sara van de Geer, Gernot Müller
Leiden University
6 March 2015
Speakers: Marc Hoffmann, Ivan Vujacic, Moritz Schauer
University of Amsterdam
27 November 2014
Speakers: Lutz Dümbgen, Jesper Møller
Delft University of Technology
9 October 2014
Speakers: Arnak Dalalyan, Marco Grzegorczyk
VU University Amsterdam
11 April 2014
Speakers: Johan Segers, Richard Gill, Tina Nane
Leiden University
28 February 2014
Speakers: Andrew Gelman, Harrison Zhou
University of Amsterdam
31 January 2014
Speakers: Richard A. Davis, Nicolai Meinshausen
Delft University of Technology
12 December 2013
Speakers: Pascal Massart, Joris Mooij
VU University Amsterdam
12 September 2013
Speakers: Jon Wellner, Paulo Serra
Leiden University
3 June 2013
Speakers: Richard Samworth, Subhashis Ghosal
University of Amsterdam
