Exploring Adversarially Robust Submodular Maximization Under Knapsack Constraint
Let's dive into the details surrounding Adversarially Robust Submodular Maximization Under Knapsack Constraint.
- Submodular maximization
- The study of combinatorial problems with a
- ... formulated as
- TL;DR This talk highlights how flatness in the
- 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 ...
This is the full video for our ICLR 2022 paper Generalization of Neural Combinatorial Solvers Through the Lens of
That wraps up our extensive overview of Adversarially Robust Submodular Maximization Under Knapsack Constraint.
