The Mathematics of Machine Learning - A Research Conference of the Cantab Capital Institute for the Mathematics of Information

Thursday 24th May 2018
09:30 to 10:00	Registration, Tea and Coffee	No Room Required
10:00 to 10:10	Carola-Bibiane Schönlieb University of Cambridge ; Matthew Killeya Cantab Capital Partners Chair: Quentin Berthet, University of Cambridge Welcome and Introduction. Update from Cantab Capital Institute for the Mathematics of Information	Room 1
10:10 to 10:55	Lars Ruthotto Emory University Chair: Quentin Berthet, University of Cambridge Deep Neural Networks Motivated by PDEs	Room 1
10:55 to 11:40	Armand Joulin Facebook Research Chair: Quentin Berthet, University of Cambridge Advances in supervised Learning of Visual Features	Room 1
11:40 to 12:00	Chair: Quentin Berthet, University of Cambridge Tea and Coffee	No Room Required
12:00 to 12:05	Carola-Bibiane Schönlieb University of Cambridge Chair: Hamza Fawzi, University of Cambridge Introduction to Elevator Pitches	Room 1
12:05 to 12:10	Lisa Maria Kreusser University of Cambridge Chair: Hamza Fawzi, University of Cambridge ODE and PDE Based Modelling of Biological Transportation Networks	Room 1
12:10 to 12:15	Benjamin Stokell Cantab Capital Institute for the Mathematics of Information Chair: Hamza Fawzi, University of Cambridge Shrinkage Estimation in Regression with Categories	Room 1
12:15 to 12:20	Torben Sell Cantab Capital Institute for the Mathematics of Information; University of Edinburgh Chair: Hamza Fawzi, University of Cambridge Particle Filtering in High-dimensions	Room 1
12:20 to 12:25	Derek Driggs Cantab Capital Institute for the Mathematics of Information Chair: Hamza Fawzi, University of Cambridge Achieving the Optimal Convergence Rate in Stochastic Optimisation	Room 1
12:25 to 12:30	Oliver Feng University of Cambridge Chair: Hamza Fawzi, University of Cambridge Adaptation in Multivariate Log-Concave Density Estimation	Room 1
12:30 to 12:35	Veronica Corona University of Cambridge Chair: Hamza Fawzi, University of Cambridge Enhancing Joint Reconstruction and Segmentation with Non-Convex Bregman Iteration	Room 1
12:35 to 12:40	Chair: Hamza Fawzi, University of Cambridge Final Questions	Room 1
12:40 to 13:40	Chair: Hamza Fawzi, University of Cambridge Lunch and Posters	No Room Required
13:40 to 14:10	Carola-Bibiane Schönlieb University of Cambridge Chair: Matthew Killeya, Cantab Capital Partners LLP Deep Variational Models for Imaging Inverse Problems	Room 1
14:10 to 14:40	Janice Lister Cantab Capital Partners LLP ; Meelis Lootus Latona Medical Ltd Chair: Matthew Killeya, Cantab Capital Partners LLP Trading on Textual Data using AI	Room 1
14:40 to 15:25	Andrea Bertozzi University of California Chair: Matthew Killeya, Cantab Capital Partners LLP Geometric Graph-Based Methods for High Dimensional Data	Room 1
15:25 to 15:45	Chair: Matthew Killeya, Cantab Capital Partners LLP Tea and Coffee	No Room Required
15:45 to 16:30	Panos Parpas Imperial College London Chair: Carola-Bibiane Schönlieb, Cantab Capital Institute for the Mathematics of Information Computational Optimisation for Machine Learning	Room 1
16:30 to 17:00	Anders Hansen University of Cambridge Chair: Carola-Bibiane Schönlieb, Cantab Capital Institute for the Mathematics of Information Have we Achieved Artificial Intelligence	Room 1
17:00 to 18:00	Chair: Carola-Bibiane Schönlieb, Cantab Capital Institute for the Mathematics of Information Drinks and Networking Reception	No Room Required

Thursday 24th May 2018

09:30 to 10:00

No Room Required

10:00 to 10:10

Carola-Bibiane Schönlieb University of Cambridge ; Matthew Killeya Cantab Capital Partners
Chair: Quentin Berthet, University of Cambridge
Welcome and Introduction. Update from Cantab Capital Institute for the Mathematics of Information

Room 1

10:10 to 10:55

Lars Ruthotto Emory University
Chair: Quentin Berthet, University of Cambridge
Deep Neural Networks Motivated by PDEs

Room 1

10:55 to 11:40

Armand Joulin Facebook Research
Chair: Quentin Berthet, University of Cambridge
Advances in supervised Learning of Visual Features

Room 1

11:40 to 12:00

Chair: Quentin Berthet, University of Cambridge
Tea and Coffee

No Room Required

12:00 to 12:05

Carola-Bibiane Schönlieb University of Cambridge
Chair: Hamza Fawzi, University of Cambridge
Introduction to Elevator Pitches

Room 1

12:05 to 12:10

Lisa Maria Kreusser University of Cambridge
Chair: Hamza Fawzi, University of Cambridge
ODE and PDE Based Modelling of Biological Transportation Networks

Room 1

12:10 to 12:15

Benjamin Stokell Cantab Capital Institute for the Mathematics of Information
Chair: Hamza Fawzi, University of Cambridge
Shrinkage Estimation in Regression with Categories

Room 1

12:15 to 12:20

Torben Sell Cantab Capital Institute for the Mathematics of Information; University of Edinburgh
Chair: Hamza Fawzi, University of Cambridge
Particle Filtering in High-dimensions

Room 1

12:20 to 12:25

Derek Driggs Cantab Capital Institute for the Mathematics of Information
Chair: Hamza Fawzi, University of Cambridge
Achieving the Optimal Convergence Rate in Stochastic Optimisation

Room 1

12:25 to 12:30

Oliver Feng University of Cambridge
Chair: Hamza Fawzi, University of Cambridge
Adaptation in Multivariate Log-Concave Density Estimation

Room 1

12:30 to 12:35

Veronica Corona University of Cambridge
Chair: Hamza Fawzi, University of Cambridge
Enhancing Joint Reconstruction and Segmentation with Non-Convex Bregman Iteration

Room 1

12:35 to 12:40

Chair: Hamza Fawzi, University of Cambridge
Final Questions

Room 1

12:40 to 13:40

Chair: Hamza Fawzi, University of Cambridge
Lunch and Posters

No Room Required

13:40 to 14:10

Carola-Bibiane Schönlieb University of Cambridge
Chair: Matthew Killeya, Cantab Capital Partners LLP
Deep Variational Models for Imaging Inverse Problems

Room 1

14:10 to 14:40

Janice Lister Cantab Capital Partners LLP ; Meelis Lootus Latona Medical Ltd
Chair: Matthew Killeya, Cantab Capital Partners LLP
Trading on Textual Data using AI

Room 1

14:40 to 15:25

Andrea Bertozzi University of California
Chair: Matthew Killeya, Cantab Capital Partners LLP
Geometric Graph-Based Methods for High Dimensional Data

Room 1

15:25 to 15:45

Chair: Matthew Killeya, Cantab Capital Partners LLP
Tea and Coffee

No Room Required

15:45 to 16:30

Panos Parpas Imperial College London
Chair: Carola-Bibiane Schönlieb, Cantab Capital Institute for the Mathematics of Information
Computational Optimisation for Machine Learning

Room 1

16:30 to 17:00

Anders Hansen University of Cambridge
Chair: Carola-Bibiane Schönlieb, Cantab Capital Institute for the Mathematics of Information
Have we Achieved Artificial Intelligence

Room 1

17:00 to 18:00

Chair: Carola-Bibiane Schönlieb, Cantab Capital Institute for the Mathematics of Information
Drinks and Networking Reception

No Room Required

INI is a creative collaborative space which is occupied by up to fifty-five mathematical scientists at any one time (and many more when there is a workshop). Some of them may not have met before and others may not realise the relevance of other research to their own work.

INI is especially important as a forum where early-career researchers meet senior colleagues and form networks that last a lifetime.

Here you can learn about all activities past, present and future, watch live seminars and submit your own proposals for research programmes.

Within this section of the website you should find all the information required to arrange and plan your visit to the Institute. If you have any further questions, or are unable to find the information you require, please get in touch with the relevant staff member or our Reception team via our contact pages.

The Isaac Newton Institute aims to maximise the benefit of its scientific programmes to the UK mathematical science community in a variety of ways.

Whether spreading research opportunities through its network of correspondents, offering summer schools to early career researchers, or hosting public-facing lectures through events such as the Cambridge Festival, there is always a great deal of activity to catch up on.

Find out about all of these endeavours in this section of the site.

“A world famous place for research in the mathematical sciences with a reputation for efficient management and a warm welcome for visitors”

The Isaac Newton Institute is a national and international visitor research institute. It runs research programmes on selected themes in mathematics and the mathematical sciences with applications over a wide range of science and technology. It attracts leading mathematical scientists from the UK and overseas to interact in research over an extended period.

INI has a vital national role, building on many strengths that already exist in UK universities, aiming to generate a new vitality through stimulating and nurturing research throughout the country.During each scientific programme new collaborations are made and ideas and expertise are exchanged and catalysed through lectures, seminars and informal interaction, which the INI building has been designed specifically to encourage.

For INI’s knowledge exchange arm, please see the Newton Gateway to Mathematics.

The Mathematics of Machine Learning - A Research Conference of the Cantab Capital Institute for the Mathematics of Information

Timetable

Supported By

The Mathematics of Machine Learning - A Research Conference of the Cantab Capital Institute for the Mathematics of Information

Timetable

Supported By

Register for updates