On the efficiency of a randomized mirror descent algorithm in online optimization problems
Work
Year: 2015
Type: article
Institutions Moscow Institute of Physics and Technology, KU Leuven
Cites: 36
Cited by: 12
Related to: 10
FWCI: 1.767
Citation percentile (by year/subfield): 89.8
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Sustainable Development Goal Peace, justice, and strong institutions
Open Access status: closed