Saved in:
| Main Author: | Tygert, Mark |
|---|---|
| Format: | Preprint |
| Published: |
2017
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/1710.04238 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Latent Autoencoder Ensemble Kalman Filter for Nonlinear Data assimilation
by: Tong, Xin T., et al.
Published: (2026)
by: Tong, Xin T., et al.
Published: (2026)
Kinetic Langevin Splitting Schemes for Constrained Sampling
by: Chada, Neil K., et al.
Published: (2026)
by: Chada, Neil K., et al.
Published: (2026)
Multivariate Density Estimation via Variance-Reduced Sketching
by: Peng, Yifan, et al.
Published: (2024)
by: Peng, Yifan, et al.
Published: (2024)
Variational Markov chain mixtures with automatic component selection
by: Miles, Christopher E., et al.
Published: (2024)
by: Miles, Christopher E., et al.
Published: (2024)
Parameter Inference based on Gaussian Processes Informed by Nonlinear Partial Differential Equations
by: Li, Zhaohui, et al.
Published: (2022)
by: Li, Zhaohui, et al.
Published: (2022)
Calibration of P-values for calibration and for deviation of a subpopulation from the full population
by: Tygert, Mark
Published: (2022)
by: Tygert, Mark
Published: (2022)
Zero-Truncated Poisson Regression for Sparse Multiway Count Data Corrupted by False Zeros
by: López, Oscar, et al.
Published: (2022)
by: López, Oscar, et al.
Published: (2022)
Median of Means Sampling for the Keister Function
by: Zhang, Bocheng
Published: (2025)
by: Zhang, Bocheng
Published: (2025)
Tensor Decomposition with Unaligned Observations
by: Tang, Runshi, et al.
Published: (2024)
by: Tang, Runshi, et al.
Published: (2024)
Numerically robust Gaussian state estimation with singular observation noise
by: Krämer, Nicholas, et al.
Published: (2025)
by: Krämer, Nicholas, et al.
Published: (2025)
Stein transport for Bayesian inference
by: Nüsken, Nikolas
Published: (2024)
by: Nüsken, Nikolas
Published: (2024)
Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges
by: Auddy, Arnab, et al.
Published: (2024)
by: Auddy, Arnab, et al.
Published: (2024)
Revisit CP Tensor Decomposition: Statistical Optimality and Fast Convergence
by: Tang, Runshi, et al.
Published: (2025)
by: Tang, Runshi, et al.
Published: (2025)
Second Order Ensemble Langevin Method for Sampling and Inverse Problems
by: Liu, Ziming, et al.
Published: (2022)
by: Liu, Ziming, et al.
Published: (2022)
Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics
by: Paulin, Daniel, et al.
Published: (2024)
by: Paulin, Daniel, et al.
Published: (2024)
Non-Asymptotic Analysis of Ensemble Kalman Updates: Effective Dimension and Localization
by: Ghattas, Omar Al, et al.
Published: (2022)
by: Ghattas, Omar Al, et al.
Published: (2022)
Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model
by: Tang, Runshi, et al.
Published: (2023)
by: Tang, Runshi, et al.
Published: (2023)
The Ensemble Epanechnikov Mixture Filter
by: Popov, Andrey A., et al.
Published: (2024)
by: Popov, Andrey A., et al.
Published: (2024)
On computing and the complexity of computing higher-order $U$-statistics, exactly
by: Chen, Xingyu, et al.
Published: (2025)
by: Chen, Xingyu, et al.
Published: (2025)
Deep Neural-network Prior for Orbit Recovery from Method of Moments
by: Khoo, Yuehaw, et al.
Published: (2023)
by: Khoo, Yuehaw, et al.
Published: (2023)
Randomized algorithms for distributed computation of principal component analysis and singular value decomposition
by: Li, Huamin, et al.
Published: (2016)
by: Li, Huamin, et al.
Published: (2016)
Secure multiparty computations in floating-point arithmetic
by: Guo, Chuan, et al.
Published: (2020)
by: Guo, Chuan, et al.
Published: (2020)
A Correlation-induced Finite Difference Estimator
by: Liang, Guo, et al.
Published: (2024)
by: Liang, Guo, et al.
Published: (2024)
A Bayesian Approach to Low-Discrepancy Subset Selection
by: Kirk, Nathan
Published: (2026)
by: Kirk, Nathan
Published: (2026)
Sequential Monte Carlo approximations of Wasserstein--Fisher--Rao gradient flows
by: Crucinio, Francesca R., et al.
Published: (2025)
by: Crucinio, Francesca R., et al.
Published: (2025)
Recurrence relations and fast algorithms
by: Tygert, Mark
Published: (2006)
by: Tygert, Mark
Published: (2006)
Deep Learning for Subspace Regression
by: Fanaskov, Vladimir, et al.
Published: (2025)
by: Fanaskov, Vladimir, et al.
Published: (2025)
Neural network-driven domain decomposition for efficient solutions to the Helmholtz equation
by: Dolean, Victorita, et al.
Published: (2025)
by: Dolean, Victorita, et al.
Published: (2025)
Fast and interpretable Support Vector Classification based on the truncated ANOVA decomposition
by: Akhalaya, Kseniya, et al.
Published: (2024)
by: Akhalaya, Kseniya, et al.
Published: (2024)
Domain decomposition architectures and Gauss-Newton training for physics-informed neural networks
by: Heinlein, Alexander, et al.
Published: (2025)
by: Heinlein, Alexander, et al.
Published: (2025)
Geometry-aware training of factorized layers in tensor Tucker format
by: Zangrando, Emanuele, et al.
Published: (2023)
by: Zangrando, Emanuele, et al.
Published: (2023)
A decomposition-based robust training of physics-informed neural networks for nearly incompressible linear elasticity
by: Dick, Josef, et al.
Published: (2025)
by: Dick, Josef, et al.
Published: (2025)
Understanding In-Context Learning for Nonlinear Regression with Transformers: Attention as Featurizer
by: Hsu, Alexander, et al.
Published: (2026)
by: Hsu, Alexander, et al.
Published: (2026)
Neural Parameter Regression for Explicit Representations of PDE Solution Operators
by: Mundinger, Konrad, et al.
Published: (2024)
by: Mundinger, Konrad, et al.
Published: (2024)
Symmetry group based domain decomposition to enhance physics-informed neural networks for solving partial differential equations
by: Liu, Ye, et al.
Published: (2024)
by: Liu, Ye, et al.
Published: (2024)
Efficient and Precise Calculation of the Confluent Hypergeometric Function
by: Herschtal, Alan
Published: (2024)
by: Herschtal, Alan
Published: (2024)
ARMA approximation of a Non-separable Spatio-Temporal Model with Fractional Smoothnesses in Space and Time
by: Furset, S. Knutsen, et al.
Published: (2026)
by: Furset, S. Knutsen, et al.
Published: (2026)
Beyond Independence: on Jointly Normal Priors in Bayesian Inversion
by: Nicholson, Ruanui, et al.
Published: (2026)
by: Nicholson, Ruanui, et al.
Published: (2026)
Ridge detection for nonstationary multicomponent signals with time-varying wave-shape functions and its applications
by: Su, Yan-Wei, et al.
Published: (2023)
by: Su, Yan-Wei, et al.
Published: (2023)
Parameter Estimation with Increased Precision for Elliptic and Hypo-elliptic Diffusions
by: Iguchi, Yuga, et al.
Published: (2022)
by: Iguchi, Yuga, et al.
Published: (2022)
Similar Items
-
Latent Autoencoder Ensemble Kalman Filter for Nonlinear Data assimilation
by: Tong, Xin T., et al.
Published: (2026) -
Kinetic Langevin Splitting Schemes for Constrained Sampling
by: Chada, Neil K., et al.
Published: (2026) -
Multivariate Density Estimation via Variance-Reduced Sketching
by: Peng, Yifan, et al.
Published: (2024) -
Variational Markov chain mixtures with automatic component selection
by: Miles, Christopher E., et al.
Published: (2024) -
Parameter Inference based on Gaussian Processes Informed by Nonlinear Partial Differential Equations
by: Li, Zhaohui, et al.
Published: (2022)