Mathematical Foundations of Optimisation in Data Science

TGMW77

24 November 2020 to 24 November 2020

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Timetable

Tuesday 24th November 2020
12:40 to 12:45	Zoom room open, informal networking	Centre for Mathematical Sciences
12:45 to 13:00	Camilla Schlepe GAM Investments ; Carola-Bibiane Schönlieb University of Cambridge Introduction	Centre for Mathematical Sciences
13:00 to 13:30	Russell Luke Universität Göttingen Feasibility Models: From Nanoscale Photonic Imaging to Randomized Algorithms for Machine Learning	Centre for Mathematical Sciences
13:30 to 14:00	Coralia Cartis University of Oxford Dimensionality Reduction Techniques for Large Scale Optimization	Centre for Mathematical Sciences
14:00 to 14:30	Chris Rogers University of Cambridge Dynamic Programming and Machine Learning	Centre for Mathematical Sciences
14:30 to 14:45	Break	Centre for Mathematical Sciences
14:45 to 15:00	Oisin Faust Cantab Capital Institute for the Mathematics of Information Chair: Alberto Coca (Cantab Capital Institute for the Mathematics of Information) Proving Logarithmic Sobolev Inequalities using Sums of Squares	Centre for Mathematical Sciences
15:00 to 15:15	Dominic Wynter Cantab Capital Institute for the Mathematics of Information Chair: Alberto Coca (Cantab Capital Institute for the Mathematics of Information) Mean Field Limits and Hilbert's Sixth Problem	Centre for Mathematical Sciences
15:15 to 15:30	Paolo Campodonico Cantab Capital Institute for the Mathematics of Information Chair: Alberto Coca (Cantab Capital Institute for the Mathematics of Information) On instabilities in Deep Learning for Inverse Problems	Centre for Mathematical Sciences
15:30 to 15:45	Chair: Alberto Coca (Cantab Capital Institute for the Mathematics of Information) Break	Centre for Mathematical Sciences
15:45 to 16:15	Silvia Gazzola University of Bath Introducing a New Class of Low-rank Solvers	Centre for Mathematical Sciences
16:15 to 16:45	Hamza Fawzi Massachusetts Institute of Technology Large-Scale Optimization with Positive Semidefinite Matrices	Centre for Mathematical Sciences

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