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Turing data science class: Delayed column generation in large scale integer optimization problems

Friday 09 Mar 2018

Time: 13:00 - 16:00

Privacy-preserving algorithms for decentralised collaborative machine learning

Monday 26 Feb 2018

Time: 14:00 - 15:00

Optimal Experimental Design and Inverse Problems

Tuesday 14 Mar 2017 - Wednesday 15 Mar 2017

Time: 17:37

Masterclass: Machine Learning using Microsoft Azure

Monday 23 Jan 2017

Time: 17:37

Masterclass: Machine Learning Theory Part 2; Online Learning - Experts and Bandits

Monday 20 Mar 2017

Time: 17:37

Masterclass: Machine Learning Theory Part 1; Probability Approximately Correct (PAC) Learning

Monday 13 Mar 2017

Time: 17:37

Inverse Problems and Data Science

Monday 08 May 2017 - Wednesday 10 May 2017

Time: 18:37

Explainable machine learning for investment decisions

Monday 09 Oct 2017

Time: 18:37

Projects

Advancing methodology for predictive healthcare

Developing methodologies for complex health data and individual-level risk prediction

Interpreting large datasets using simulation

Developing a sampling method that simulates representative samples given a large dataset

Spatial learning for structure-based drug design

Researching how best to represent 3D spatial relationships for machine learning, with a focus on drug design

Language models for quantitative science studies

Developing models to represent the use of language in research and improve performance of specific tasks, including the retrieval and summarisation of literature

project image - abstract light source shining in darkness

Physical activity and cardiovascular health

Understanding the types and patterns of activity that are beneficial for cardiovascular health using machine learning techniques

Someone having their blood pressure measured

Personalised risk management of cardiovascular disease

Using cutting-edge statistical and machine learning methods to identify individual cardiovascular risks

Publications and software

Research publications

Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization

Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization. Akyildiz, Ömer Deniz ; Sabanis, Sotirios. arXiv:2002.05465 [math.OC]

Research publications

Data Study Group Final Report: WWF

Smart monitoring for conservation areas

Data Study Group team. (2020, June 5). Data Study Group Final Report: WWF. Zenodo. http://doi.org/10.5281/zenodo.3878457

Research publications

Data Study Group Network Final Report: Woolfson Laboratory

Machine learning for protein folding

Data Study Group team. (2020, June 5). Data Study Group Network Final Report - Woolfson Laboratory. Zenodo. http://doi.org/10.5281/zenodo.3877119

Research publications

Data Study Group Final Report: Telenor

Green Radio: Dynamic power saving configuration for mobile networks

Data Study Group team. (2020). Data Study Group Final Report: Telenor. http://doi.org/10.5281/zenodo.3786852

Research publications

Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations

Identifying when to give treatments to patients and how to select among multiple treatments...

Bica, I., Alaa, A. M., Jordon, J., & van der Schaar, M. (2020). Estimating counterfactual treatment outcomes over time through adversarially balanced representations. International Conference on Learning Representations (ICLR) 2020.

Research publications

Ethics of machine learning in children's social care

Across the press, academia, and the worlds of policy and practice, concerns abound about...

David Leslie, Lisa Holmes, Christina Hitrova, Ellie Ott (2020, January). Ethics of machine learning in children's social care [Report]. What Works for Children's Social Care.

Research publications

Sparse Inverse Problems Over Measures: Equivalence of the Conditional Gradient and Exchange Methods

We study an optimization program over nonnegative Borel measures that encourages sparsity in its...

Eftekhari, Armin, and Andrew Thompson. "Sparse Inverse Problems over Measures: Equivalence of the Conditional Gradient and Exchange Methods." SIAM Journal on Optimization 29.2 (2019): 1329-1349.

Research publications

Data Study Group Final Report: Imperial College London, Los Alamos National Laboratory, Heilbronn Institute

Developing data science tools for improving enterprise cyber-security

Data Study Group team. (2019, November 29). Data Study Group Final Report: Imperial College London, Los Alamos National Laboratory, Heilbronn Institute. Zenodo. http://doi.org/10.5281/zenodo.3558251

Research publications

Nonasymptotic estimates for Stochastic Gradient Langevin Dynamics under local conditions in nonconvex optimization.

Nonasymptotic estimates for Stochastic Gradient Langevin Dynamics under local conditions in nonconvex optimization. Zhang, Ying ; Akyildiz, Ömer Deniz ; Damoulas, Theo ; Sabanis, Sotirios. 2019. arXiv:1910.02008 [math.ST]