First- and second-order high probability complexity bounds for trust-region methods with noisy oracles
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- 29 July 2023
- journal article
- research article
- Published by Springer Nature in Mathematical Programming
- Vol. 207 (1-2) , 55-106
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- Random Gradient-Free Minimization of Convex FunctionsFoundations of Computational Mathematics, 2015
- Recent advances in trust region algorithmsMathematical Programming, 2015
- Convergence of Trust-Region Methods Based on Probabilistic ModelsSIAM Journal on Optimization, 2014
- Computation of sparse low degree interpolating polynomials and their application to derivative-free optimizationMathematical Programming, 2012
- Sample size selection in optimization methods for machine learningMathematical Programming, 2012
- Benchmarking Derivative-Free Optimization AlgorithmsSIAM Journal on Optimization, 2009
- Cubic regularization of Newton method and its global performanceMathematical Programming, 2006
- UOBYQA: unconstrained optimization by quadratic approximationMathematical Programming, 2002
- On the Lagrange functions of quadratic models that are defined by interpolation*Optimization Methods and Software, 2001
- On the Global Convergence of Trust Region Algorithms Using Inexact Gradient InformationSIAM Journal on Numerical Analysis, 1991