Distributed Machine Learning and Optimisation

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Distributed Machine Learning and Optimisation

 25 - 27 Nov 2015

ICMS, 15 South College Street Edinburgh

  • Artur Czumaj, University of Warwick
  • Ilias Diakonikolas, University of Edinburgh
  • Mark Girolami, University of Warwick
  • Raphael Hauser, University of Oxford
  • Peter Richtarik, University of Edinburgh
  • John Shawe-Taylor, University College London

Speakers

  • Jakub Konecny, University of Edinburgh - Federated Optimization: Distributed Optimization Beyond the Datacenter             

  • David Woodruff, IBM Research - A Story of Principal Component Analysis in the Distributed Model

  • Raphael Hauser, University of Oxford - Computing the Leading Part SVD of Large Dense Matrices

  • Cedric Archambeau, Amazon - Incremental Variational Inference: A Distributed Probabilistic Inference Framework

  • Michal Kocvara, University of Birmingham - On Multigrid Methods in Convex Optimization

  • Yves Wiaux, Heriot-Watt University/University of Edinburgh - Astronomical Imaging

  • Krzysztof Onak, IBM Thomas J Watson Research Center - Communication Complexity of Learning Discrete Distributions             

  • Coralia Cartis, University of Oxford - Optimization Algorithms with Only Occasionally Accurate Models 

  • Artur Czumaj, University of Warwick - Testing Directed Networks             

  • Robert Gower, University of Edinburgh - Randomized Iterative Methods for Linear Systems

  • Gregory Valiant, Stanford University - Memory, Communication and Statistical Queries

  • Amos Storkey, University of Edinburgh - Mechanism Design for Distributing Machine Learning

  • He Sun, University of Bristol - Partitioning Well-Clustered Graphs: Spectral Clustering Works

  • Alina Ene, University of Warwick - A New Framework for Distributed Submodular Maximization

  • Christian Sohler, University of Dortmund - Testing Cluster Structure of Graphs

Sponsors and Funders:

This workshop is one of a number of scientific scoping workshops will be held, at the British Library and at other locations across the UK by the Alan Turing Institute.