Non-Uniform Subset Selection for Active Learning in Structured Data
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Updated
Feb 20, 2019 - MATLAB
Non-Uniform Subset Selection for Active Learning in Structured Data
A GPU accelerated Submodular Optimization toolkit.
Routines for submodular set function minimization
Personalized knowledge graph summarization based on historical queries
A collection of optimization algorithms for maximizing unconstrained submodular set functions.
delta-submodular work codes
Probabilistic Gas Leak Rate Estimation using Submodular Function Maximization with Routing Constraints
Code for our AISTATS '22 paper: Improving Attribution Methods by Learning Submodular 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
Randomized Greedy Learning Under Full-bandit Feedback
Another blog, another platform
A partial Benders decomposition (PBD) for solving choice-based competitive facility location problems (CBCFLP)
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