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Papers matching “high-dimensional problems” 106

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A comparison study of supervised learning techniques for the approximation of high dimensional functions and feedback control
2024 arXiv (Cornell University) preprint Computer Science Neural Networks and Applications Open access

Mathias Oster, Luca Saluzzi, Tizian Wenzel

1

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
Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite
2023 conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access

Diederick Vermetten, Manuel López‐Ibáñez, Olaf Mersmann, Richard Allmendinger, Anna V. Kononova

3

citations
Analysis of modular CMA-ES on strict box-constrained problems in the SBOX-COST benchmarking suite
2023 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Diederick Vermetten, Manuel López‐Ibáñez, Olaf Mersmann, Richard Allmendinger, Anna V. Kononova

0

citations
High-accuracy model-based reinforcement learning, a survey
2023 Artificial Intelligence Review article Computer Science Reinforcement Learning in Robotics Open access

Aske Plaat, Walter A. Kosters, Mike Preuß

46

citations
Deep Learning of Causal Structures in High Dimensions
2022 arXiv (Cornell University) preprint Computer Science Bayesian Modeling and Causal Inference Open access

Kai Lagemann, Christian Lagemann, Bernd Taschler, Sach Mukherjee

0

citations
High-Accuracy Model-Based Reinforcement Learning, a Survey
2021 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Aske Plaat, Walter A. Kosters, Mike Preuß

5

citations
Geoelectrical imaging of subsurface discontinuities and heterogeneities using low-dimensional parameterizations
2021 conference-abstract Earth and Planetary Sciences Geophysical and Geoelectrical Methods Open access

Aaron Förderer, Florian Wellmann, Florian Wagner

2

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
Model order reduction in subset simulations using the proper orthogonal decomposition
2023 PAMM article Physics and Astronomy Model Reduction and Neural Networks Open access

Denny Thaler, Michael D. Shields, Bernd A. Markert, Franz Bamer

3

citations
Efficient localised model reduction for multiscale PDEs via Grassmannian interpolation
2026 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Christian Alber, Markus Bachmayr, Robert Scheichl, Huqing Yang

0

citations
Towards autonomous learning and optimisation in textile production: data-driven simulation approach for optimiser validation
2024 Journal of Intelligent Manufacturing article Engineering Digital Transformation in Industry Open access

Ruben Kins, Christian Möbitz, Thomas Gries

4

citations
Function Approximation
2020 Springer eBooks book-chapter Computer Science Artificial Intelligence in Games

Aske Plaat

1

citations
Local Preferential Bayesian Optimization
2026 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Johanna Menn, Miriam Kober, Paul Brunzema, David Stenger, Sebastian Trimpe

0

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
On Safety in Safe Bayesian Optimization
2024 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Christian Fiedler, Johanna Menn, Lukas Kreisköther, Sebastian Trimpe

3

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
Constrained Consensus-Based Optimization
2023 SIAM Journal on Optimization article Computer Science Metaheuristic Optimization Algorithms Research Open access

Giacomo Borghi, Michaël Herty, Lorenzo Pareschi

32

citations
Capacity of the covariance perceptron
2020 Journal of Physics A Mathematical and Theoretical article Computer Science Neural Networks and Applications Open access

7

citations
Capacity of the covariance perceptron
2020 RWTH Publications (RWTH Aachen) article Computer Science Neural Networks and Applications Open access

David Dahmen, Matthieu Gilson, Moritz Helias

6

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
Does Dimensionality Reduction via Random Projections preserve Landscape Features?
2026 Genetic and Evolutionary Computation Conference (GECCO) conference-paper Computer Science Metaheuristic Optimization Algorithms Research Open access

Iván Olarte Rodríguez, Anja Jankovič, Thomas Bäck, Elena Raponi

1

citations
ManQala: Game-inspired strategies for quantum state engineering
2023 AVS Quantum Science article Computer Science Quantum Computing Algorithms and Architecture

Onur Danaci, Wenlei Zhang, William Djakam, Michaela Amoo, Ryan T. Glasser, Brian T. Kirby, +2 more

1

citations