https://deepai.org/publication/unified-greedy-approximability-beyond-submodular-maximization
11/02/20 - We consider classes of objective functions of cardinality constrained maximization problems for which the greedy algorithm guarant...
submodular maximizationunifiedgreedyapproximabilitybeyond
https://github.com/bianan/optimal-dr-submodular-max
Source code for ICML paper "Optimal Continuous DR-Submodular Maximization and Applications to Provable Mean Field Inference" - bianan/optimal-dr-submodular-max
source codegithuboptimaldrsubmodular
https://arxiv.org/abs/1102.3975
Abstract page for arXiv paper 1102.3975: Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection
greedy algorithmssubmodularmeetsspectralsubset
https://arxiv.org/abs/2406.08942
Abstract page for arXiv paper 2406.08942: Quotient-convergence of Submodular Setfunctions
quotientconvergencesubmodular
https://openreview.net/forum?id=JFUMa5q3Xz&referrer=%5Bthe%20profile%20of%20Arnav%20Mohanty%20Das%5D(%2Fprofile%3Fid%3D~Arnav_Mohanty_Das1)
Submodular functions, crucial for various applications, often lack practical learning methods for their acquisition. Seemingly unrelated, learning a scaling...
deepsubmodularperipteralnetworksopenreview
https://arxiv.org/abs/2302.03087
Abstract page for arXiv paper 2302.03087: Dividing Good and Better Items Among Agents with Bivalued Submodular Valuations
dividinggoodbetteritemsamong