3rd UCL Workshop on the Theory of Big Data

Rahman, A. (Participant)

Activity: Participating in or organising an eventWorkshop/course/forumIndustry

Description

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.
Period26 Jun 201728 Jun 2017
Event typeWorkshop
Conference number3rd
LocationLondon, United Kingdom
Degree of RecognitionInternational

ASJC Scopus subject areas

  • Mathematics(all)

Keywords

  • Big Data
  • Theory and Methodology
  • Spatial & Temporal Analysis
  • Privacy-preserving inference
  • Tensors and Statistical Modelling