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A concise second-order complexity analysis for unconstrained optimization using high-order regularized models.
Coralia Cartis
Nick I. M. Gould
Philippe L. Toint
Published in:
Optim. Methods Softw. (2020)
Keyphrases
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high order
complexity analysis
higher order
bayesian logistic regression
unconstrained optimization
pairwise
fourth order
objective function
constrained optimization
theoretical analysis
machine learning
optimization methods
linear programming
least squares
trust region
lower bound
genetic algorithm