Introduction to Adversarially Robust Submodular Maximization Under Knapsack Constraints
Welcome to our comprehensive guide on Adversarially Robust Submodular Maximization Under Knapsack Constraints. Promotional video for our KDD 2019 paper:
Adversarially Robust Submodular Maximization Under Knapsack Constraints Comprehensive Overview
Alina Ene, Boston University https://simons.berkeley.edu/talks/alina-ene-09-13-17 Discrete Optimization via Continuous ... Recorded by Andrew Xia 2016. In this video, we dive deep into the 0/1
Multiobjective optimization is somewhat of a misnomer -- you actually have to have predefined weightings for each of the ...
Summary & Highlights for Adversarially Robust Submodular Maximization Under Knapsack Constraints
- 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!
- Distributed Attack-
- In this video, I'll be talking about the 2D
- A Google Algorithms TechTalk, 2021/01/14, presented by Mehrdad Ghadiri.
In summary, understanding Adversarially Robust Submodular Maximization Under Knapsack Constraints gives us a better perspective.
