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 1970, 'Fast Edge-consensus Computing Based on Bregman Monotone Operator Splitting', ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, Brighton, UK, pp. 4609-4613.
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Niwa, K, Zhang, G & Kleijn, WB 1970, 'Edge Consensus Computing for Heterogeneous Data Sets', 2018 IEEE Statistical Signal Processing Workshop (SSP), 2018 IEEE Statistical Signal Processing Workshop (SSP), IEEE, Freiburg, Germany, pp. 80-84.
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FOR Codes: Optimisation, Knowledge Representation and Machine Learning, Expanding Knowledge in the Mathematical Sciences, Optimisation , Machine learning

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.