Optimal Polynomial-time Estimators: A Bayesian Notion of Approximation Algorithm.
Vanessa KosoyAlexander AppelPublished in: FLAP (2020)
Keyphrases
- worst case
- optimal solution
- dynamic programming
- approximation ratio
- cost function
- detection algorithm
- computational complexity
- randomized algorithm
- closed form
- globally optimal
- error bounds
- approximation algorithms
- optimization algorithm
- evolutionary algorithm
- optimal parameters
- learning algorithm
- posterior probability
- exhaustive search
- monte carlo
- finding the optimal solution
- bayesian networks
- objective function
- np hard
- k means
- lower bound
- minimum error
- polynomial time approximation
- approximation guarantees
- constant factor
- preprocessing
- optimal path
- segmentation algorithm
- search space
- computational cost
- bayesian framework
- least squares
- particle swarm optimization
- em algorithm