High Probability Bounds for Stochastic Continuous Submodular Maximization.
Evan BeckerJingdong GaoTed ZadouriBaharan MirzasoleimanPublished in: AISTATS (2023)
Keyphrases
- objective function
- chance constraints
- upper bound
- wide range
- lower bound
- stochastic optimization
- neural network
- probability distribution
- stage stochastic programs
- jump diffusion process
- information retrieval
- greedy algorithm
- robust optimization
- large deviations
- error bounds
- chance constrained
- lower and upper bounds
- real time
- data sets