Work

On the Benefits of Progressively Increasing Sampling Sizes in Stochastic Greedy Weak Submodular Maximization

Year: 2022

Type: article

Source: IEEE Transactions on Signal Processing

DOI: 10.1109/tsp.2022.3195089

Authors: Abolfazl Hashemi, Haris Vikalo, Gustavo de Veciana

Institutions: Purdue University West Lafayette, The University of Texas at Austin

Language: English

Topic: Stochastic Gradient Optimization Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: National Science Foundation

OpenAlex ID: W4288773398

FWCI: 0.312

Cites: 57

Cited by: 5

Related to: 10