Exploring Adversarially Robust Submodular Maximization Under Knapsack Constraint
Let's dive into the details surrounding Adversarially Robust Submodular Maximization Under Knapsack Constraint.
- Submodular maximization
- ... formulated as
- TL;DR This talk highlights how flatness in the
- The study of combinatorial problems with a
- Distributed Attack-
In-Depth Information on Adversarially Robust Submodular Maximization Under Knapsack Constraint
Authors: Dmitrii Avdiukhin (Indiana University Bloomington);Slobodan Mitrovic (MIT);Grigory Yaroslavtsev (Indiana University ... Alina Ene, Boston University https://simons.berkeley.edu/talks/alina-ene-09-13-17 Discrete Optimization via Continuous ... ... possible the most binding This video is part of the Introduction to ML Safety course (https://course.mlsafety.org) and was recorded by Dan Hendrycks at the ...
Non monotone non monotone some modular
That wraps up our extensive overview of Adversarially Robust Submodular Maximization Under Knapsack Constraint.
