Exploring Adversarially Robust Submodular Maximization Under Knapsack Constraint
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- Adversarial Robustness of Image Classifiers: Attack, Measurement, and Defense (By Kunal Khallar)
- Non monotone non monotone some modular
- ... possible the most binding
- Computer Science Seminar Series October 20, 2020 “Overparameterized and
- ... formulated as
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 ... Distributed Attack- Submodular maximization
TL;DR This talk highlights how flatness in the
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