Software

We highly believe in open and reproducible science. To this end, we try our best to publicly release our software and data sets.

• Paper Submodular Maximization beyond Non-negativity: Guarantees, Fast Algorithms, and Applications:

  • Code is released here

• Paper: Streaming Weak Submodularity: Interpreting Neural Networks on the Fly

  • Code is released here.

• Paper: Probabilistic Submodular Maximization in Sub-Linear Time

  • Code is released here

• Paper: Differentially Submodular Maximization: Data Summarization in Disguise

  • Code is released here.

• Paper Online Continuous Submodular Maximization:

  • Code is released here