The Mathematics of Machine Learning - A Research Conference of the Cantab Capital Institute for the Mathematics of Information
| Created: | 2018-05-25 10:31 |
|---|---|
| Institution: | Isaac Newton Institute for Mathematical Sciences |
| Description: | Background
The Cantab Capital Institute for the Mathematics of Information (CCIMI) was pleased to announce its second annual academic conference, which focused on the academic interactions taking place related to the mathematics of machine learning. Launched in 2016, CCIMI accommodates research activity on fundamental mathematical problems and methodology for understanding, analysing, processing and simulating data. Data science research performed in the Institute is of the highest international level, aiming to extract the relevant information from large and high-dimensional data with a predictable certainty. This event followed previous successful academic and industrial engagement events, which focused on different aspects related to the mathematics of information. Aims and Objectives This one day conference brought together those academics working to advance data science and provided an update on research and collaborations taking place at CCIMI, associated challenges and other potential collaborative opportunities, it also highlighted projects being developed elsewhere related to machine learning. The programme of talks covered some of the following areas: Complexity theory Signal processing Partial differential equations Deep neural networks. There was a session for short “elevator pitches” from next generation researchers, who also had the opportunity to present more detail about their work in a poster exhibition, which ran during the lunch and the drinks/networking session. This event was of interest to participants including social scientists; physicists; engineers; biomedical scientists as well as those working in statistics; pure, applied and computational analysis; quantum computing, cryptography, communication and security and those from data processing. |
Media items
This collection contains 15 media items.
Media items
Achieving the Optimal Convergence Rate in Stochastic Optimisation
Driggs, D
Thursday 24th May 2018 - 12:20 to 12:25
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Fri 25 May 2018
Achieving the Optimal Convergence Rate in Stochastic Optimisation
Driggs, D
Thursday 24th May 2018 - 12:20 to 12:25
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Fri 25 May 2018
Adaptation in Multivariate Log-Concave Density Estimation
Feng, O
Thursday 24th May 2018 - 12:25 to 12:30
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Fri 25 May 2018
Advances in supervised Learning of Visual Features
Thursday 24th May 2018 - 10:55 to 11:40
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Fri 25 May 2018
Computational Optimisation for Machine Learning
Parpas, P
Thursday 24th May 2018 - 15:45 to 16:30
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Fri 25 May 2018
Deep Neural Networks Motivated by PDEs
Thursday 24th May 2018 - 10:10 to 10:55
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Fri 25 May 2018
Deep Variational Models for Imaging Inverse Problems
Schönlieb, C
Thursday 24th May 2018 - 13:40 to 14:10
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Fri 25 May 2018
Enhancing Joint Reconstruction and Segmentation with Non-Convex Bregman Iteration
Corona, V
Thursday 24th May 2018 - 12:30 to 12:35
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Fri 25 May 2018
Geometric Graph-Based Methods for High Dimensional Data
Bertozzi, A
Thursday 24th May 2018 - 14:40 to 15:25
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Fri 25 May 2018
Have we Achieved Artificial Intelligence
Hansen, A
Thursday 24th May 2018 - 16:30 to 17:00
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Fri 25 May 2018
ODE and PDE Based Modelling of Biological Transportation Networks
Kreusser, L
Thursday 24th May 2018 - 12:05 to 12:10
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Fri 25 May 2018
Particle Filtering in High-dimensions
Sell, T
Thursday 24th May 2018 - 12:15 to 12:20
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Fri 25 May 2018
Shrinkage Estimation in Regression with Categories
Stokell, B
Thursday 24th May 2018 - 12:10 to 12:15
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Fri 25 May 2018
Trading on Textual Data using AI
Lootus, M
Lister, J
Driggs, D
Date:
Thursday 24th May 2018 - 14:10 to 14:40
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Fri 25 May 2018
Welcome and Introduction. Update from Cantab Capital Institute for the Mathematics of Information
Killeya, M
Schönlieb, C
Thursday 24th May 2018 - 10:00 to 10:10
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Tue 29 May 2018