OSPHG algorithm achieves sub-linear (1-1/e)-regret and sub-linear budget violation for online DR-submodular maximization with long-term budgets when W = o(T).
Designing smoothing functions for improved worst-case competitive ratio in online optimization
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.OC 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Online Continuous DR-Submodular Maximization with Long-Term Budget Constraints
OSPHG algorithm achieves sub-linear (1-1/e)-regret and sub-linear budget violation for online DR-submodular maximization with long-term budgets when W = o(T).