From

Institution

Field

Type

Open access only Cited by patents (Lens) Include non-Aachen papers (citing/cited)

Reset

Papers matching “high-dimensional problems” 28

Sort: Relevance Cited Newest Oldest Fwci Patents ⇩ CSV

Not finding it? Sign in to also search OpenAlex live.

High-dimensional, outcome-dependent missing data problems: Models for the human KIR loci
2025 Statistical Methods in Medical Research article Mathematics Statistical Methods and Bayesian Inference Open access

Lars L. J. van der Burg, Hein Putter, Henning Baldauf, Jürgen Sauter, Johannes Schetelig, Liesbeth C. de Wreede, +1 more

0

citations
Iterative thresholding low-rank time integration for high-dimensional problems
2026 arXiv (Cornell University) preprint Mathematics Numerical methods for differential equations Open access

Markus Bachmayr, Tianyu Jin, Polina Sachsenmaier, Federico Vismara

0

citations
Dynamical low-rank tensor approximations to high-dimensional parabolic problems: existence and convergence of spatial discretizations
2023 arXiv (Cornell University) preprint Mathematics Tensor decomposition and applications Open access

Markus Bachmayr, Henrik Eisenmann, André Uschmajew

1

citations
Dynamical low-rank tensor approximations to high-dimensional parabolic problems: existence and convergence of spatial discretizations
2025 Numerische Mathematik article Mathematics Tensor decomposition and applications Open access

Markus Bachmayr, Henrik Eisenmann, André Uschmajew

1

citations
Julia code for "Iterative thresholding low-rank time integration for high-dimensional problems"
2026 Zenodo (CERN European Organization for Nuclear Research) software Mathematics Numerical methods for differential equations Open access

Markus Bachmayr, Tianyu Jin, Polina Sachsenmaier, Federico Vismara

0

citations
Julia code for "Iterative thresholding low-rank time integration for high-dimensional problems"
2026 Zenodo (CERN European Organization for Nuclear Research) software Mathematics Numerical methods for differential equations Open access

Markus Bachmayr, Tianyu Jin, Polina Sachsenmaier, Federico Vismara

0

citations
A space-time adaptive low-rank method for high-dimensional parabolic partial differential equations
2024 Journal of Complexity article Mathematics Mathematical Approximation and Integration Open access

Markus Bachmayr, Manfred Faldum

2

citations
High-dimensional variable selection via low-dimensional adaptive learning
2021 Electronic Journal of Statistics article Mathematics Statistical Methods and Inference Open access

Christian Staerk, Maria Kateri, Ioannis Ntzoufras

11

citations
Projection inference for high-dimensional covariance matrices with structured shrinkage targets
2022 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Fabian Mies, Ansgar Steland

0

citations
Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning
2024 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut

0

citations
A Metropolized Adaptive Subspace Algorithm for High-Dimensional Bayesian Variable Selection
2022 Bayesian Analysis article Mathematics Markov Chains and Monte Carlo Methods Open access

Christian Staerk, Maria Kateri, Ioannis Ntzoufras

2

citations
High-Dimensional Confidence Regions in Sparse MRI
2023 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Mathematics Statistical Methods and Inference Open access

Frederik Hoppe, Felix Krahmer, Claudio Mayrink Verdun, Marion Irene Menzel, Holger Rauhut

5

citations
Low-rank tensor methods for high-dimensional parameter-dependent PDEs: eigenvalue estimation, approximate inverses, and multigrid methods
2026 RWTH Publications (RWTH Aachen) dissertation Mathematics Tensor decomposition and applications Open access

Tim A. Werthmann

0

citations
Fusion Consistency in High-Dimensional Logistic Regression with Factors
2026 Sankhya A article Mathematics Statistical Methods and Inference Open access

Lea Kaufmann, Maria Kateri

0

citations
Computation and Learning in High Dimensions
2026 Oberwolfach Reports article Mathematics Mathematical Approximation and Integration Open access

Markus Bachmayr, Albert Cohen, Angela Kunoth, Olga Mula

1

citations
Simultaneous factors selection and fusion of their levels in penalized logistic regression
2024 Electronic Journal of Statistics article Mathematics Statistical Methods and Inference Open access

Lea Kaufmann, Maria Kateri

1

citations
Phantom-Conditioned Nested Sampling
2026 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Joshua G. Albert

0

citations
Almanac: HMC sampling with bounded velocity
2026 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Javier Silva Lafaurie, L Whiteway, Elena Sellentin, Kutay Nazli, Andrew H. Jaffe, Alan Heavens, +1 more

0

citations
Permutation-based multiple testing when fitting many generalized linear models
2025 Electronic Journal of Statistics article Mathematics Statistical Methods and Inference Open access

Riccardo De Santis, Jelle J. Goeman, Samuel Davenport, Jesse Hemerik, Livio Finos

1

citations
Permutation-based multiple testing when fitting many generalized linear models
2024 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Riccardo De Santis, Jelle J. Goeman, Samuel Davenport, Jesse Hemerik, Livio Finos

0

citations
Semi‐supervised empirical Bayes group‐regularized factor regression
2022 Biometrical Journal article Mathematics Statistical Methods and Inference Open access

Magnus Münch, Mark A. van de Wiel, Aad van der Vaart, Carel F.W. Peeters

4

citations
Online Detection of Changes in Moment-Based Projections: When to Retrain Deep Learners or Update Portfolios?
2023 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Ansgar Steland

0

citations
Ensemble Kalman Inversion as an Inertial Interacting Particle System
2026 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Michael Herty, Pierpaolo Porretta, Giuseppe Visconti

0

citations
Uncertainty Quantification For Learned ISTA
2023 IEEE International Workshop on Machine Learning for Signal Processing (MLSP) conference-paper Mathematics Numerical methods in inverse problems

Frederik Hoppe, Claudio Mayrink Verdun, Hannah Laus, Felix Krahmer, Holger Rauhut

4

citations
Quasi-orthogonalization for alternating non-negative tensor factorization
2024 ETNA - Electronic Transactions on Numerical Analysis article Mathematics Tensor decomposition and applications Open access

Lars Grasedyck, Maren Klever, Sebastian Krämer

1

citations