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Grant Award View - GA1984-V1
Efficient second-order optimisation algorithms for learning from big...
GA ID:
GA1984-V1
Agency:
Australian Research Council
Approval Date:
10-Nov-2017
Variation Publish Date:
20-Feb-2018
Variation Date:
4-Jun-2018
Category:
Science, Technology, Engineering and Mathematics (STEM) Research
Grant Term:
4-Jun-2018 to 3-Jun-2021
Value (AUD):
$348,575.00
(GST inclusive where applicable)
Varies:
GA1984
- Efficient second-order optimisation algorithms for learning from big data
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 17/18 Discovery
Grant Program:
Discovery Early Career Researcher Award
Grant Activity:
Efficient second-order optimisation algorithms for learning from big data
Purpose:
This project aims to apply a diverse range of scientific computing techniques to design and implement new, second-order methods that can surpass first-order alternatives in the next generation of optimisation methods for large-scale machine learning (ML). Scalable optimisation methods are now an integral part ML in the presence of “big dataâ€. While the development of efficient first-order methods has grown in the ML community, second-order alternatives have largely been ignored. The project expects to facilitate the development of more effective ML algorithms for extraction of knowledge from large data sets.
Internal Reference ID:
DE18 Round 1
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
The University of Queensland
Recipient ABN:
63 942 912 684
Grant Recipient Location
Suburb:
ST LUCIA
Town/City:
ST LUCIA
Postcode:
4067
State/Territory:
QLD
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
QLD
Postcode:
4067
Country:
AUSTRALIA