Zobrazeno 1 - 10
of 198 926
pro vyhledávání: '"Inexact"'
Bilevel learning has gained prominence in machine learning, inverse problems, and imaging applications, including hyperparameter optimization, learning data-adaptive regularizers, and optimizing forward operators. The large-scale nature of these prob
Externí odkaz:
http://arxiv.org/abs/2412.12049
This work concerns the zeroth-order global minimization of continuous nonconvex functions with a unique global minimizer and possibly multiple local minimizers. We formulate a theoretical framework for inexact proximal point (IPP) methods for global
Externí odkaz:
http://arxiv.org/abs/2412.11485
Quantum Interior Point Methods (QIPMs) have been attracting significant interests recently due to their potential of solving optimization problems substantially faster than state-of-the-art conventional algorithms. In general, QIPMs use Quantum Linea
Externí odkaz:
http://arxiv.org/abs/2412.11307
A Halpern-type relaxed inertial inexact progressive hedging algorithm (PHA) is proposed for solving multi-stage stochastic variational inequalities in general probability spaces. The subproblems in this algorithm are allowed to be calculated inexactl
Externí odkaz:
http://arxiv.org/abs/2412.05928
In this paper, we introduce an inexact approach to the Boosted Difference of Convex Functions Algorithm (BDCA) for solving nonconvex and nondifferentiable problems involving the difference of two convex functions (DC functions). Specifically, when th
Externí odkaz:
http://arxiv.org/abs/2412.05697
Inexact proximal augmented Lagrangian methods (pALMs) are particularly appealing for tackling convex constrained optimization problems because of their elegant convergence properties and strong practical performance. To solve the associated pALM subp
Externí odkaz:
http://arxiv.org/abs/2411.13267
Autor:
Su, Ziwei, Klabjan, Diego
Stochastic simulation models are generative models that mimic complex systems to help with decision-making. The reliability of these models heavily depends on well-calibrated input model parameters. However, in many practical scenarios, only output-l
Externí odkaz:
http://arxiv.org/abs/2411.05315