Near-Optimal Discrete Optimization for Experimental Design: A Regret Minimization Approach.
Zeyuan Allen-ZhuYuanzhi LiAarti SinghYining WangPublished in: CoRR (2017)
Keyphrases
- experimental design
- discrete optimization
- regret minimization
- nash equilibrium
- combinatorial optimization problems
- game theoretic
- active learning
- sample size
- empirical studies
- multi agent learning
- experimental designs
- feature selection
- graph matching
- class imbalance
- upper bound
- ant colony optimization
- genetic algorithm
- multi agent