26-28 June 2017

Submissions deadline: 31 March 2017
Notification of acceptance: end-April 2017

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Registration Fee: £50 per delegate

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Aim

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 and graphical models), as well as high-dimensional estimation and learning, and privacy-preserving algorithms.

Focus Areas

The Conference will focus on:

  • Graphical models - computational bottlenecks and high-dimensional theory
  • Challenges in Spatial & Temporal Analysis
  • High-Dimensional Estimation and Learning
  • Privacy-preserving inference
  • Tensors and statistical modelling
  • Scope

    Contributions within the broad theme of theoretical, computational and statistical underpinnings of Big Data analysis, emphasizing challenges and opportunities that are not usually found in traditional data analysis problems.

    Submissions

    Accepted contributions will be designated either 15 minute talks or poster presentations.

    Submissions should be made before 31st March 2017. The submission takes the form of an extended abstract (up to 1 side of an A4 sheet) in PDF format, describing the potential contribution, which can be novel or related to an existing pre-print or publication.

    Scientific Programme Committee

    Prof Sofia Olhede (Conference co-Chair, University College London)
    Prof Patrick Wolfe (Conference co-Chair, University College London)
    Prof Florentina Bunea (Cornell University)
    Prof Petros Dellaportas (UCL)
    Dr Arthur Gretton (UCL)
    Dr Ioannis Kosmidis (UCL)
    Dr Ioanna Manolopoulou (UCL)
    Prof Richard Samworth (University of Cambridge)
    Dr Ricardo Silva (UCL)
    Prof Ming Yuan (University of Wisconsin-Madison)

    Theory of Big Data 2015 & 2016

    Programme & Slides from our previous events

    Keynote & Plenary Speakers

    Prof. Ming Yuan

    University of Wisconsin-Madison, USA

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    Prof. Jianqing Fan

    Princeton University, USA

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    Speakers

    Prof. Peter Diggle

    University of Lancaster, UK

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    Dr Kamalika Chaudhuri

    University of California, San Diego, USA

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    Prof. Lieven de Lathauwer

    Université catholique de Louvain, Belgium

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    Prof. Peter Hoff

    Duke University, USA

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    Dr. Tian Zhang

    Columbia University, USA

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    Prof. Guy Nason

    University of Bristol, UK

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    Prof. Arnak Dalalyan

    ENSAE ParisTech, France

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    Dr Heather Battey

    Imperial College London, UK

    More Info
     

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