delta-submodular work codes
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Updated
Jul 22, 2021 - MATLAB
delta-submodular work codes
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Randomized Greedy Learning Under Full-bandit Feedback
A partial Benders decomposition (PBD) for solving choice-based competitive facility location problems (CBCFLP)
Code for our AISTATS '22 paper: Improving Attribution Methods by Learning Submodular Functions.
Routines for submodular set function minimization
A GPU accelerated Submodular Optimization toolkit.
Probabilistic Gas Leak Rate Estimation using Submodular Function Maximization with Routing Constraints
Non-Uniform Subset Selection for Active Learning in Structured Data
Personalized knowledge graph summarization based on historical queries
A collection of optimization algorithms for maximizing unconstrained submodular set functions.
apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html
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