Statistics of geometric features and new data types

Workshop theme

Big Data practitioners are increasingly faced with new data types and the geometries they induce. This workshop will be an opportunity for practitioners to learn about the latest developments in these and other challenges, and for more mathematically-oriented scientists to discover the most important new data types that can shape their own research agendas.

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Timetable

Monday 19th March 2018
09:00 to 09:50	Registration	No Room Required
09:50 to 10:00	Welcome from David Abrahams (INI Director)	No Room Required
10:00 to 11:00	Victor Panaretos EPFL - Ecole Polytechnique Fédérale de Lausanne Procrustes Analysis of Covariance Operators and Optimal Transport of Gaussian Processes	Room 1
11:00 to 11:30	Morning Coffee	No Room Required
11:30 to 12:30	Jim Ramsay McGill University Dynamic Smoothing Meets Gravity	Room 1
12:30 to 13:30	Lunch @ Churchill College	No Room Required
13:30 to 14:30	Bodhisattva Sen Columbia University Adaptive Confidence Bands for Shape-Restricted Regression in Multi-dimension using Multiscale Tests	Room 1
14:30 to 15:30	Richard Samworth University of Cambridge Isotonic regression in general dimensions	Room 1
15:30 to 16:00	Afternoon Tea	No Room Required
16:00 to 17:00	Rainer von Sachs Université Catholique de Louvain Intrinsic wavelet regression for curves and surfaces of Hermitian positive definite matrices	Room 1
17:00 to 18:00	Welcome Wine Reception & Poster Session	No Room Required

Tuesday 20th March 2018
09:00 to 10:00	Robert Nowak University of Wisconsin-Madison; Toyota Technological Institute Learning Low-Dimensional Metrics	Room 1
10:00 to 11:00	Matthew Reimherr Pennsylvania State University Manifold Data Analysis with Applications to High-Resolution 3D Imaging	Room 1
11:00 to 11:30	Morning Coffee	No Room Required
11:30 to 12:30	Davide Pigoli King's College London Speech as object data: exploring cross-linguistic changes in Romance languages	Room 1
12:30 to 13:30	Lunch @ Churchill College	No Room Required
13:30 to 14:30	Michelle Carey University College Dublin Uncertainty quantification for Geo-spatial process	Room 1
14:30 to 15:30	Ian Dryden University of Nottingham Object Data Driven Discovery	Room 1
15:30 to 16:00	Afternoon Tea	No Room Required
16:00 to 17:00	Fang Yao University of Toronto Functional regression on manifold with contamination	Room 1

Wednesday 21st March 2018
09:00 to 10:00	Rebecca Willett University of Wisconsin-Madison Graph Total Variation for Inverse Problems with Highly Correlated Designs	Room 1
10:00 to 11:00	Sofia Olhede University College London Small and Large Scale Network Features	Room 1
11:00 to 11:30	Morning Coffee	No Room Required
11:30 to 12:30	Johannes Schmidt-hieber Universiteit Leiden Statistical theory for deep neural networks with ReLU activation function	Room 1
12:30 to 13:30	Lunch @ Churchill College	No Room Required
13:30 to 17:00	Free Afternoon	No Room Required

Thursday 22nd March 2018
09:00 to 10:00	Jingjing Zou University of Cambridge Mixed Effects Model on Functional Manifolds / Sampling Directed Networks	Room 1
10:00 to 11:00	Hao Chen University of California, Davis New two-sample tests based on adjacency	Room 1
11:00 to 11:30	Morning Coffee	No Room Required
11:30 to 12:30	Alexander Aue University of California, Davis Limiting spectral distributions for a class of high-dimensional time series	Room 1
12:30 to 13:30	Lunch @ Churchill College	No Room Required
13:30 to 14:30	Regina Liu Rutgers, The State University of New Jersey Fusion and Individualized Fusion Learning from Diverse Data Sources by Confidence Distribution	Room 1
14:30 to 15:30	Debashis Paul University of California, Davis Spectral estimation for a class of high-dimensional linear processes	Room 1
15:30 to 16:00	Afternoon Tea	No Room Required
16:00 to 17:00	Eardi Lila University of Cambridge Statistical Analysis of Functions on Surfaces, with an application to Medical Imaging	Room 1
19:30 to 22:00	Formal Dinner at St John's College	No Room Required

Friday 23rd March 2018
09:00 to 10:00	Sara Anna van de Geer ETH Zürich A concentration interval for the Lasso	Room 1
10:00 to 11:00	Miguel del alamo Georg-August-Universität Göttingen Multiscale Bounded Variation Regularization	Room 1
11:00 to 11:30	Morning Coffee	No Room Required
11:30 to 12:30	Piotr Fryzlewicz London School of Economics Multiscale methods and recursion in data science	Room 1
12:30 to 13:30	Lunch @ Churchill College	No Room Required

Statistics of geometric features and new data types

Organisers

John Aston University of Cambridge
Richard Davis Columbia University
Axel Munk Georg-August-Universität Göttingen

Speakers

Alexander Aue University of California, Davis
Michelle Carey University College Dublin
Hao Chen University of California, Davis
Miguel del alamo Georg-August-Universität Göttingen
Ian Dryden University of Nottingham
Piotr Fryzlewicz London School of Economics
Eardi Lila University of Cambridge
Regina Liu Rutgers, The State University of New Jersey
Robert Nowak University of Wisconsin-Madison; Toyota Technological Institute
Sofia Olhede University College London
Victor Panaretos EPFL - Ecole Polytechnique Fédérale de Lausanne
Debashis Paul University of California, Davis
Davide Pigoli King's College London
Jim Ramsay McGill University
Matthew Reimherr Pennsylvania State University
Richard Samworth University of Cambridge
Johannes Schmidt-hieber Universiteit Leiden
Bodhisattva Sen Columbia University
Sara Anna van de Geer ETH Zürich
Rainer von Sachs Université Catholique de Louvain
Rebecca Willett University of Wisconsin-Madison
Fang Yao University of Toronto
Jingjing Zou University of Cambridge

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Participants

John Aston University of Cambridge
Alexander Aue University of California, Davis
Sergio Bacallado University of Cambridge
Quentin Berthet University of Cambridge
Michelle Carey University College Dublin
Joris Chau Université Catholique de Louvain
Mihai Cucuringu University of Oxford; The Alan Turing Institute
Richard Davis Columbia University
Miguel del alamo Georg-August-Universität Göttingen
Aurore Delaigle University of Melbourne
Holger Dette Ruhr-Universität Bochum
Ian Dryden University of Nottingham
Idris Eckley Lancaster University
Alex Fisch Lancaster University
Piotr Fryzlewicz London School of Economics
Masayuki Hemmi The Institute of Statistical Mathematics (ISM)
Clauda Kirch Otto-von-Guericke-Universität Magdeburg
Ioannis Kontoyiannis University of Cambridge; Athens University of Economics and Business
Eardi Lila University of Cambridge
Regina Liu Rutgers, The State University of New Jersey
Axel Munk Georg-August-Universität Göttingen
Robert Nowak University of Wisconsin-Madison; Toyota Technological Institute
Sofia Olhede University College London
Alexey Onatskiy University of Cambridge
Victor Panaretos EPFL - Ecole Polytechnique Fédérale de Lausanne
Debashis Paul University of California, Davis
Davide Pigoli King's College London
Jim Ramsay McGill University
Benjamin Recht University of California, Berkeley
Matthew Reimherr Pennsylvania State University
Nickl Richard University of Cambridge
Richard Samworth University of Cambridge
Johannes Schmidt-hieber Universiteit Leiden
Carola-Bibiane Schönlieb University of Cambridge
Bodhisattva Sen Columbia University
Rajen Shah University of Cambridge
Adam Sykulski Lancaster University; University College London
Sara Anna van de Geer ETH Zürich
Rainer von Sachs Université Catholique de Louvain
Tengyao Wang University of Cambridge
Rebecca Willett University of Wisconsin-Madison
Fang Yao University of Toronto
JaeKyu Yoo None / Other
Alastair Young Imperial College London
Yi Yu University of Bristol
Chao Zheng Lancaster University
Jingjing Zou University of Cambridge