Michiel Hochstenbach
Technische Universiteit Eindhoven
H-index: 24
Europe-Netherlands
Top articles of Michiel Hochstenbach
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
On Stochastic Roundoff Errors in Gradient Descent with Low-Precision Computation | Journal of Optimization Theory and Applications | Lu Xia Stefano Massei Michiel E Hochstenbach Barry Koren | 2024/2 |
A homogeneous Rayleigh quotient with applications in gradient methods | Journal of Computational and Applied Mathematics | Giulia Ferrandi Michiel E Hochstenbach | 2024/2/1 |
Numerical methods for rectangular multiparameter eigenvalue problems, with applications to finding optimal ARMA and LTI models | Numerical Linear Algebra with Applications | Michiel E Hochstenbach Tomaž Košir Bor Plestenjak | 2024/3 |
A subspace method for large-scale trace ratio problems | arXiv preprint arXiv:2402.02920 | G Ferrandi ME Hochstenbach MR Oliveira | 2024/2/5 |
On the convergence of the gradient descent method with stochastic fixed-point rounding errors under the Polyak-Lojasiewicz inequality | arXiv preprint arXiv:2301.09511 | Lu Xia Michiel E Hochstenbach Stefano Massei | 2023/1/23 |
Multigroup classification by a robust trace ratio method | Book of Abstracts | M Rosário Oliveira Giulia Ferrandi Igor Kravchenko Michiel E Hochstenbach | 2023 |
A restricted SVD type CUR decomposition for matrix triplets | SIAM Journal on Scientific Computing | Perfect Y Gidisu Michiel E Hochstenbach | 2023/12/7 |
A DEIM-CUR factorization with iterative SVDs | arXiv preprint arXiv:2310.00636 | Perfect Y Gidisu Michiel E Hochstenbach | 2023/10/1 |
Limited memory gradient methods for unconstrained optimization | arXiv preprint arXiv:2308.15145 | Giulia Ferrandi Michiel E Hochstenbach | 2023/8/29 |
A harmonic framework for stepsize selection in gradient methods | Computational Optimization and Applications | Giulia Ferrandi Michiel E Hochstenbach Nataša Krejić | 2023/5 |
A generalized CUR decomposition for matrix pairs | SIAM Journal on Mathematics of Data Science | Perfect Y Gidisu Michiel E Hochstenbach | 2022 |
On the trace ratio method and Fisher's discriminant analysis for robust multigroup classification | arXiv preprint arXiv:2211.08120 | Giulia Ferrandi Igor V Kravchenko Michiel E Hochstenbach M Rosário Oliveira | 2022/11/15 |
Block Discrete Empirical Interpolation Methods | arXiv preprint arXiv:2208.02213 | Perfect Y Gidisu Michiel E Hochstenbach | 2022/8/3 |
On the influence of stochastic roundoff errors and their bias on the convergence of the gradient descent method with low-precision floating-point computation | arXiv preprint arXiv:2202.12276 | Lu Xia Stefano Massei Michiel E Hochstenbach Barry Koren | 2022/2/24 |
On the influence of roundoff errors on the convergence of the gradient descent method with low-precision floating-point computation | arXiv preprint arXiv:2202.12276 | Lu Xia Stefano Massei Michiel Hochstenbach Barry Koren | 2022/2 |
BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent | Data Mining and Knowledge Discovery | Sibylle Hess Gianvito Pio Michiel Hochstenbach Michelangelo Ceci | 2021/11 |
A hybrid DEIM and leverage scores based method for CUR index selection | Perfect Y Gidisu Michiel E Hochstenbach | 2021/4/13 | |
A simple and efficient stochastic rounding method for training neural networks in low precision | arXiv preprint arXiv:2103.13445 | Lu Xia Martijn Anthonissen Michiel Hochstenbach Barry Koren | 2021/3/24 |
A twin error gauge for Kaczmarz's iterations | SIAM journal on scientific computing | Bart S van Lith Per Christian Hansen Michiel E Hochstenbach | 2021 |
Computing several eigenvalues of nonlinear eigenvalue problems by selection | Calcolo | Michiel E Hochstenbach Bor Plestenjak | 2020/6 |
Co-Authors
