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Artur Czumaj, University of Warwick
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Ilias Diakonikolas, University of Edinburgh
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Mark Girolami, University of Warwick
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Raphael Hauser, University of Oxford
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Peter Richtarik, University of Edinburgh
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John Shawe-Taylor, University College London
Speakers
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Jakub Konecny, University of Edinburgh - Federated Optimization: Distributed Optimization Beyond the Datacenter
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David Woodruff, IBM Research - A Story of Principal Component Analysis in the Distributed Model
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Raphael Hauser, University of Oxford - Computing the Leading Part SVD of Large Dense Matrices
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Cedric Archambeau, Amazon - Incremental Variational Inference: A Distributed Probabilistic Inference Framework
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Michal Kocvara, University of Birmingham - On Multigrid Methods in Convex Optimization
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Yves Wiaux, Heriot-Watt University/University of Edinburgh - Astronomical Imaging
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Krzysztof Onak, IBM Thomas J Watson Research Center - Communication Complexity of Learning Discrete Distributions
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Coralia Cartis, University of Oxford - Optimization Algorithms with Only Occasionally Accurate Models
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Artur Czumaj, University of Warwick - Testing Directed Networks
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Robert Gower, University of Edinburgh - Randomized Iterative Methods for Linear Systems
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Gregory Valiant, Stanford University - Memory, Communication and Statistical Queries
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Amos Storkey, University of Edinburgh - Mechanism Design for Distributing Machine Learning
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He Sun, University of Bristol - Partitioning Well-Clustered Graphs: Spectral Clustering Works
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Alina Ene, University of Warwick - A New Framework for Distributed Submodular Maximization
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Christian Sohler, University of Dortmund - Testing Cluster Structure of Graphs