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F61 3rd UCL Conference on the Theory of Big Data

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Event Information

Theory Big Data
Dates of Event
26th June 2017 – 28th June 2017
Last Booking Date for this Event
28th June 2017
Places Available

The 3rd annual UCL Conference on the Theory of Big Data (www.ucl.ac.uk/bigdata-theory/) is a flagship initiative of the UCL Centre for Data Science. Building upon the success of our two previous Big Data conferences, this event will feature scientific talks focussing on big data with respect to challenges in spatial and temporal analysis, high-dimensional estimation and learning, privacy-preserving inference and tensors and statistical modelling.

The conference schedule is available at http://www.ucl.ac.uk/bigdata-theory/schedule/, and the event will run over three days – 26, 27 and 28 June 2017, at the UCL Great Ormond Street Institute of Child Health, 30 Guildford Street, London WC1N 1EH, UK.

Further details: Big Data has become ubiquitous in modern society, but drawing insights from it remains a challenge due to its unprecedented degrees of heterogeneity, often compounded by inadequate experimental design. The past decade has seen considerable developments with big data algorithms, but significant challenges remain for the area’s theoretical underpinning.

The aim of this workshop is to gather experts who develop theory and methodology for big data sets; i.e. scientists who construct new algorithms, but also develop theoretical understanding as to the analysis techniques that are optimal or preferable in different sampling scenarios. The workshop will feature research into computational and statistical efficiency trade-offs, high-dimensional dependency structures (such as spatiotemporal models), as well as high-dimensional estimation and learning, and privacy-preserving algorithms. For more information on content and speakers, or to propose a contribution, please refer to the conference website:


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