21-23 June 2017

Organisers: Magnus Richardson (MathSys) and Chenlei Leng (OxWaSP)

Registration is now closed as the school is at capacity.

Scope of the Summer School

Machine Learning is a rapidly growing field that has recently seen significant advances in real-world applications. The school will provide an introduction to the themes and methods of the field through talks by leading experts and three tutorials. The target audience is numerate with basic programming abilities - no prior knowledge of machine learning will be assumed.
Tutorials - we will cover the very basics of Deep Neural Networks with instructions and examples given using the Jupyter Notebook environment. Basic knowledge of Jupyter Notebooks (and a little Python or Julia) would be an advantage before the tutorials begin - these are straightforward to pick up.
Pointers to on-line resources can be found on the Summer School tutorial page.

	Wednesday 21st June 2017
11.30am-12.30pm	Registration in Complexity Common Room (Rm D1.07)
12.30pm-1pm	Lunch outside D1.07
1pm-2pm	Machine Learning and Human Health Dr Christopher Yau, University of Birmingham (Rm MS.05)
2.30pm-5pm	Tutorial 1 (Rm D1.07)
	Thursday 22nd June 2017
9.30am-12.30pm	Tutorial 2 (Rm D1.07)
12.30pm-1.30pm	Lunch outside D1.07
1.30pm-2.30pm	Machine Learning: Past, Present and Future Dr David Barber, UCL (Rm B3.03)
2.30pm-3.30pm	Using NLP for mood prediction and opinion mining from online and heterogeneous data Dr Maria Liakata, Warwick (Rm B3.03)
3.30pm-4.00pm	Coffee outside D1.07
4pm-5pm	Environment Simulators for Agent Planning Dr Silvia Chiappa, Google DeepMind (Rm B3.03)
	Friday 23rd June 2017
9.30am-12.30pm	Tutorial 3 (Rm D1.07)
12.30pm-1.30pm	Lunch outside D1.07
1.30pm-2.30pm	From “peak human” to “post human” - how will automation shift the economy? Matthew Lawrence and Carys Roberts, Institute for Public Policy Research (Rm B3.02)
2.30pm-3.30pm	Lipschitz Continuity for Inference and Decision Making Dr Jan-Peter Calliess, Oxford (Rm B3.02)
3.30pm-4.00pm	Coffee outside D1.07
4pm-5pm	PDEs and variational approaches in inverse imaging and their adaption via learning Dr Carola-Bibiane Schönlieb, Cambridge (Rm B3.03)
5pm	Cheese and wine in Maths Common Room

There is no registration fee for the school, though we will not be able to provide accommodation or travel support for non-speakers. The workshop will take place at the Warwick Mathematics Institute and is hosted by the Mathematics for Real-World Systems and OxWaSP Centres for Doctoral Training, with support from the EPSRC and MRC under grant EP/L015374/1.

See also:
Mathematics Research Centre
Mathematical Interdisciplinary Research at Warwick (MIR@W)
Past Events 
Past Symposia