NAACL 2019: Submodular optimization-based diverse paraphrasing and its effectiveness in data augmentation
(IJCAI 2019) Submodular Batch Selection for Training Deep Neural Networks
A collection of optimization algorithms for maximizing unconstrained submodular set functions.
PyEDCR is a metacognitive neuro-symbolic method for learning error detection and correction rules in deployed ML models using combinatorial sub-modular set optimization
Recommending movies based on a utility function of movie ratings
Greedy and Lazy Greedy Sub Modular Optimisation
Some tools for submodular function minimization in Python
A GPU accelerated Submodular Optimization toolkit.
Code for our ICML '24 paper, "Submodular framework for structured-sparse optimal transport".
Submodular Subset Selection for Long-Document Question Answering
Randomized Greedy Learning Under Full-bandit Feedback
Python implementation of Scalable Combinatorial Bayesian Optimization with Tractable Statistical Models
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