Optimization in Machine Learning (Lecture 9):Submodular Maximization and Greedy

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Lecture 9:
Submodular Maximization variants
- Monotone/Non-Monotone functions
- Under different constraints (e.g. cardinality, knapsack, matroid)
- Under different settings (e.g. streaming, distributed)
- Memoization
  1. Rishabh
  2. Submodualr Maximization
  3. Greedy Algorithm
  4. Monotone functions
  5. Non-monotone submodular
  6. Distributed
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