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Grant Award View - GA281850-V1
Stochastic majorization--minimization algorithms for data science
GA ID:
GA281850-V1
Agency:
Australian Research Council
Approval Date:
19-Jan-2023
Variation Publish Date:
27-Mar-2024
Variation Date:
27-Mar-2024
Category:
Humanities, Arts and Social Sciences (HASS) Research
Grant Term:
5-Jul-2023 to 4-Jul-2026
Value (AUD):
$360,000.00
(GST inclusive where applicable)
Varies:
GA281850
- Stochastic majorization--minimization algorithms for data science
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
ARC 22/23 Discovery
Grant Program:
Discovery Projects
Grant Activity:
Stochastic majorization--minimization algorithms for data science
Purpose:
The changing nature of acquisition and storage data has made the process of drawing inference infeasible with traditional statistical and machine learning methods. Modern data are often acquired in real time, in an incremental nature, and are often available in too large a volume to process on conventional machinery. The project proposes to study the family of stochastic majorisation-minimisation algorithms for computation of inferential quantities in an incremental manner. The proposed stochastic algorithms encompass and extend upon a wide variety of current algorithmic frameworks for fitting statistical and machine learning models, and can be used to produce feasible and practical algorithms for complex models, both current and future.
GO ID:
GO Title:
Discovery Projects for funding commencing in 2023
Internal Reference ID:
DP23 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