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Machine Learning Theory Based on Convex Optimization

Project Member(s): Zhang, G.

Funding or Partner Organisation: Nippon Telegraph and Telephone Corporation
Nippon Telegraph and Telephone Corporation

Start year: 2018

Publications:

Niwa, K, Zhang, G & Kleijn, WB 2019, 'Fast Edge-Consensus Computing Based On Bregman Monotone Operator Splitting', ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2019 IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE, Brighton, UK.

Niwa, K, Zhang, G & Bastiaan Kleijn, W 2018, 'Edge Consensus Computing for Heterogeneous Data Sets', 2018 IEEE Statistical Signal Processing Workshop, SSP 2018, Statistical Signal Processing Workshop, IEEE, Freiburg, Germany, pp. 663-667.
View/Download from: Publisher's site

FOR Codes: Optimisation, Knowledge Representation and Machine Learning, Expanding Knowledge in the Mathematical Sciences