Greedy and Lazy Greedy Sub Modular Optimisation
-
Updated
Feb 27, 2018 - Python
Greedy and Lazy Greedy Sub Modular Optimisation
Recommending movies based on a utility function of movie ratings
Some tools for submodular function minimization in Python
Simulation code for the paper “Migration as Submodular Optimization” by Paul Gölz and Ariel D. Procaccia.
visual-inertial odometry (VINS-Mono) with motion-aware feature selection
A GPU accelerated Submodular Optimization toolkit.
Routines for submodular set function minimization
Code for the paper: Combining Graph Degeneracy and Submodularity for Unsupervised Extractive Summarization
Проект по методам оптимизации, 3 курс, ФУПМ МФТИ
Python implementation of Scalable Combinatorial Bayesian Optimization with Tractable Statistical Models
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
Implementation of Serial and Parallel Local Lazy Greedy for submodular b-matching
(IJCAI 2019) Submodular Batch Selection for Training Deep Neural Networks
Submodular Subset Selection for Long-Document Question Answering
Efficient greedy-based methods for constrained submodular optimization.
Randomized Greedy Learning Under Full-bandit Feedback
To associate your repository with the submodular-optimization topic, visit your repo's landing page and select "manage topics."