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Advances and challenges in Machine Learning Languages

Monday, 20 May 2019, 12.00pm to Tuesday, 21 May 2019, 6.30pm
Location: Centre for Mathematical Sciences, Wilberforce Road, Cambridge

The development of machine learning programming languages is critical to support the research and deployment of ML solutions as data-size and model-complexity grow. These languages often offer built-in support for expressing machine learning models as programs and aim at automating inference, through probabilistic analysis and simulation or back-propagation and differentiation. Machine learning languages enable models to be deployed, critiqued, and improved, support reproducible research, and lower the barrier for the use of these methods.

This workshop aims to bring together researchers from both academia and industry, to discuss recent advances and challenges in machine learning languages development and research.


Registration deadline has now passed


Further information and an updated programme schedule can be found on Workshop website.


Event Code of Conduct

Please familiarise yourself with the Event's Code of Conduct here.




Isaac Newton Trust
American Statistical Association
The International Society for Bayesian Analysis