Active-set prediction for interior point methods using controlled perturbations
Cartis, C Yan, Y (27 Apr 2014) doi:10.48550/arxiv.1404.6770
Global convergence rate analysis of unconstrained optimization methods based on probabilistic models
Cartis, C Scheinberg, K (22 May 2015) doi:10.48550/arxiv.1505.06070
Improved second-order evaluation complexity for unconstrained nonlinear optimization using high-order regularized models
Cartis, C Gould, N Toint, P (14 Aug 2017) doi:10.48550/arxiv.1708.04044
Convergence Rate Analysis of a Stochastic Trust Region Method via Submartingales
Blanchet, J Cartis, C Menickelly, M Scheinberg, K (23 Sep 2016) doi:10.48550/arxiv.1609.07428
Improving the Flexibility and Robustness of Model-Based Derivative-Free Optimization Solvers
Cartis, C Fiala, J Marteau, B Roberts, L (31 Mar 2018) doi:10.48550/arxiv.1804.00154
Universal regularization methods - varying the power, the smoothness and the accuracy
Cartis, C Gould, N Toint, P (16 Nov 2018) doi:10.48550/arxiv.1811.07057
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