Exploring Adversarially Robust Submodular Maximization Under Knapsack Constraint
Let's dive into the details surrounding Adversarially Robust Submodular Maximization Under Knapsack Constraint.
- Multiobjective optimization is somewhat of a misnomer -- you actually have to have predefined weightings for each of the ...
- Distributed Attack-
- TL;DR This talk highlights how flatness in the
- ... formulated as
- Submodular maximization
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 ... This video is part of the Introduction to ML Safety course (https://course.mlsafety.org) and was recorded by Dan Hendrycks at the ... Making decisions with limited information!
Spotlight video for paper "Adaptive
That wraps up our extensive overview of Adversarially Robust Submodular Maximization Under Knapsack Constraint.