Hashing embeddings of optimal dimension, with applications to linear least squares
Cartis, C
Fiala, J
Shao, Z
(25 May 2021)
doi:10.48550/arxiv.2105.11815
Convergent least-squares optimisation methods for variational data assimilation
Cartis, C
Kaouri, M
Lawless, A
Nichols, N
(26 Jul 2021)
doi:10.48550/arxiv.2107.12361
Global optimization using random embeddings
Cartis, C
Massart, E
Otemissov, A
(26 Jul 2021)
doi:10.48550/arxiv.2107.12102
Nonlinear matrix recovery using optimization on the Grassmann manifold
Goyens, F
Cartis, C
Eftekhari, A
(13 Sep 2021)
doi:10.48550/arxiv.2109.06095
A Randomised Subspace Gauss-Newton Method for Nonlinear Least-Squares
Cartis, C
Fowkes, J
Shao, Z
(10 Nov 2022)
doi:10.48550/arxiv.2211.05727
Randomised subspace methods for non-convex optimization, with applications to nonlinear least-squares
Cartis, C
Fowkes, J
Shao, Z
(17 Nov 2022)
doi:10.48550/arxiv.2211.09873
A Randomised Subspace Gauss-Newton Method for Nonlinear Least-Squares
Cartis, C
Fowkes, J
Shao, Z
(10 Nov 2022)
doi:10.48550/arxiv.2211.05727
Randomised subspace methods for non-convex optimization, with applications to nonlinear least-squares
Cartis, C
Fowkes, J
Shao, Z
(17 Nov 2022)
doi:10.48550/arxiv.2211.09873
Second-order methods for quartically-regularised cubic polynomials, with applications to high-order tensor methods
Cartis, C
Zhu, W
(29 Aug 2023)
doi:10.48550/arxiv.2308.15336