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Papers matching “high-dimensional inference” 25

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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
Resampling-Based Multisplit Inference for High-Dimensional Regression
2022 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Anna Vesely, Jelle J. Goeman, Livio Finos

0

citations
$\texttt{NFDiag}$: High-dimensional MCMC Convergence Diagnosis with Normalizing Flows
2026 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Kutay Nazli, Elena Sellentin

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
Inference in an interactive multi-type branching network
2026 arXiv (Cornell University) preprint Mathematics Stochastic processes and statistical mechanics Open access

Gunay Hasanli, Michel Mandjes, Jiesen Wang

0

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
Graphon Hawkes Processes: Sparse Estimation and Network Recovery
2026 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Justin R. Baars, Roger J. A. Laeven, Michel Mandjes

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
Simultaneous Factors Selection and Fusion of Their Levels in Penalized Logistic Regression
2022 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Lea Kaufmann, Maria Kateri

0

citations
Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format
2020 arXiv (Cornell University) preprint Mathematics Tensor decomposition and applications Open access

Lars Grasedyck, Robert Scheichl

1

citations
Bad estimation, good prediction: the Lasso in dense regimes
2025 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Andrea Bratsberg, Magne Thoresen, Jelle J. Goeman

0

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
Principal Covariate Regression with Nuclear Norm Penalty
2026 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Kaiwen Liu, Lisa Verbeij, Wouter D. Weeda, Mark de Rooij

0

citations
Think before you shrink: Alternatives to default shrinkage methods can improve prediction accuracy, calibration and coverage
2023 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Mark A. van de Wiel, Gwenaël G. R. Leday, Jeroen Hoogland, Martijn W. Heymans, Erik W. van Zwet, Ailko H. Zwinderman

5

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
A unified approach for testing in Hilbert spaces on incomplete data
2026 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Daniel Gaigall, Philipp Wübbolding

0

citations
Simulation-based inference for rapid Bayesian parameter estimation in epidemiological models: a comparison with MCMC
2026 arXiv (Cornell University) preprint Mathematics Markov Chains and Monte Carlo Methods Open access

Alina Bazarova, Johann F. Jadebeck, Henrik Zunker, Carolina J. Klett-Tammen, Torben Heinsohn, Wolfgang Wiechert, +2 more

0

citations
Learning Latent Dynamics via Invariant Decomposition and (Spatio-)Temporal Transformers
2023 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Kai Lagemann, Christian Lagemann, Sach Mukherjee

1

citations
Adaptive greedy algorithm for moderately large dimensions in kernel conditional density estimation
2021 arXiv (Cornell University) preprint Mathematics Statistical Methods and Inference Open access

Minh-Lien Jeanne Nguyen, Claire Lacour, Vincent Rivoirard

2

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

3

citations
Conserved moiety fluxomics
2024 bioRxiv (Cold Spring Harbor Laboratory) preprint Biochemistry, Genetics and Molecular Biology Microbial Metabolic Engineering and Bioproduction Open access

Ronan M. T. Fleming, Hulda S. Haraldsdóttir, German Preciat, Luojiao Huang, Ines Thiele, Amy C. Harms, +1 more

3

citations
A Fast and Energy-Efficient Latch-Based Memristive Analog Content-Addressable Memory
2026 arXiv (Cornell University) preprint Engineering Advanced Memory and Neural Computing Open access

Paul-Philipp Manea, Aishwarya Natarajan, Jim Ignowski, John Paul Strachan, Luca Buonanno

1

citations
CoMoCAVs: Cohesive Decision-Guided Motion Planning for Connected and Autonomous Vehicles with Multi-Policy Reinforcement Learning
2025 arXiv (Cornell University) preprint Engineering Autonomous Vehicle Technology and Safety Open access

Pan Hu

1

citations
Bayesian Optimization of Partially Known Systems using Hybrid Models
2026 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Eike Cramer, Luis Kutschat, Oliver Stollenwerk, Joel A. Paulson, Alexander Mitsos

0

citations
Privacy-Preserving Detection of Rare Disease-Associated Cell Subsets via Secure Multi-Party Computation
2026 arXiv (Cornell University) preprint Computer Science Privacy-Preserving Technologies in Data Open access

Şeyma Selcan Mağara, Esther Havemann, Debora Jutz, Ali Burak Ünal, Mete Akgün

0

citations

25 results