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Papers matching “high-dimensional parameters” 15

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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
Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB
2023 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Maria Laura Santoni, Elena Raponi, Renato De Leone, Carola Doerr

2

citations
Benchmarking Wireless Representations: High-Dimensional vs. Compressed Embeddings for Efficiency and Robustness
2026 arXiv (Cornell University) preprint Engineering Millimeter-Wave Propagation and Modeling Open access

Murilo Batista, Shirin Salehi, Saeed Mashdour, Paul Zheng, Rodrigo C. de Lamare, Anke Schmeink

0

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
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
Safety in safe Bayesian optimization and its ramifications for control
2025 arXiv (Cornell University) preprint Decision Sciences Advanced Bandit Algorithms Research Open access

Christian Fiedler, Johanna Menn, Sebastian Trimpe

0

citations
Comparison between Tensor Networks and Variational Quantum Classifier
2023 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Artem A. Melnikov, Michael Romanovich Perelshtein, Reuben Brasher, Thomas Baeck, Florian Neukart

0

citations
Automated Importance Sampling via Optimal Control for Stochastic Reaction Networks: A Markovian Projection-based Approach
2023 arXiv (Cornell University) preprint Economics, Econometrics and Finance Stochastic processes and financial applications Open access

Chiheb Ben Hammouda, Nadhir Ben Rached, Raul F. Tempone, Sophia Wiechert

0

citations
Dynamics of neural scaling laws in random feature regression with powerlaw-distributed kernel eigenvalues
2026 arXiv (Cornell University) preprint Computer Science Gaussian Processes and Bayesian Inference Open access

Jakob Kramp, Javed Lindner, Moritz Helias

0

citations
Does Compression Imply Generalization? A Minimum Description Length Perspective
2026 arXiv (Cornell University) preprint Computer Science Stochastic Gradient Optimization Techniques Open access

Lincen Yang, Jiayang Shi, Nan Pu, Daniël M. Pelt, Matthijs van Leeuwen, Zhong Li, +1 more

0

citations
SECRET: Stochasticity Emulator for Cosmic Ray Electrons
2025 arXiv (Cornell University) preprint Physics and Astronomy Astrophysics and Cosmic Phenomena Open access

Nikolas Frediani, Michael Krämer, Philipp Mertsch, Kathrin Nippel

0

citations
Fine-Tuning of Neural Network Approximate MPC without Retraining via Bayesian Optimization
2025 arXiv (Cornell University) preprint Engineering Advanced Control Systems Optimization Open access

Henrik Hose, Paul Brunzema, Alexander von Rohr, Alexander Gräfe, Angela P. Schoellig, Sebastian Trimpe

0

citations
A Greedy Sensor Selection Algorithm for Hyperparameterized Linear Bayesian Inverse Problems
2023 arXiv (Cornell University) preprint Decision Sciences Optimal Experimental Design Methods Open access

Nicole Aretz, Peng Chen, Denise Degen, Karen Veroy

0

citations
Uncertainty quantification for learned ISTA
2023 arXiv (Cornell University) preprint Engineering Sparse and Compressive Sensing Techniques Open access

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

0

citations
Effective uncertainty quantification for multi-angle polarimetric aerosol remote sensing over ocean, Part 1: performance evaluation and speed improvement
2022 preprint Environmental Science Atmospheric aerosols and clouds Open access

Meng Gao, Kirk David Knobelspiesse, Bryan A. Franz, Peng‐Wang Zhai, A. M. Sayer, Amir I. Ibrahim, +6 more

0

citations

15 results