Measure transport with kernel mean embeddings
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, L., Nüsken, N. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Stein transport for Bayesian inference
by: Nüsken, Nikolas
Published: (2024)
by: Nüsken, Nikolas
Published: (2024)
Sequential multiple importance sampling for high-dimensional Bayesian inference
by: Binbin, Li, et al.
Published: (2025)
by: Binbin, Li, et al.
Published: (2025)
Nonparametric estimation of homogenized invariant measures from multiscale data via Hermite expansion
by: Borodavka, Jaroslav I., et al.
Published: (2025)
by: Borodavka, Jaroslav I., et al.
Published: (2025)
Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges
by: Auddy, Arnab, et al.
Published: (2024)
by: Auddy, Arnab, et al.
Published: (2024)
Quadratic Point Estimate Method for Probabilistic Moments Computation
by: Ko, Minhyeok, et al.
Published: (2024)
by: Ko, Minhyeok, 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)
High-order Accurate Inference on Manifolds
by: Huang, Chengzhu, et al.
Published: (2025)
by: Huang, Chengzhu, et al.
Published: (2025)
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)
Proposal for the Application of Fractional Operators in Polynomial Regression Models to Enhance the Determination Coefficient $R^2$ on Unseen Data
by: Torres-Hernandez, Anthony
Published: (2025)
by: Torres-Hernandez, Anthony
Published: (2025)
Linguistic Approach to Time Series Forecasting
by: Lande, Dmytro, et al.
Published: (2022)
by: Lande, Dmytro, et al.
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)
Sequential Maximal Updated Density Parameter Estimation for Dynamical Systems with Parameter Drift
by: del-Castillo-Negrete, Carlos, et al.
Published: (2024)
by: del-Castillo-Negrete, Carlos, et al.
Published: (2024)
A Fourier-based inference method for learning interaction kernels in particle systems
by: Pavliotis, Grigorios A., et al.
Published: (2025)
by: Pavliotis, Grigorios A., et al.
Published: (2025)
Asymptotic analysis of the Gaussian kernel matrix for partially noisy data in high dimensions
by: Aishima, Kensuke
Published: (2026)
by: Aishima, Kensuke
Published: (2026)
Reproducing kernel methods for machine learning, PDEs, and statistics
by: LeFloch, Philippe G., et al.
Published: (2024)
by: LeFloch, Philippe G., et al.
Published: (2024)
Quantifying uncertainty in the numerical integration of evolution equations based on Bayesian isotonic regression
by: Miyatake, Yuto, et al.
Published: (2024)
by: Miyatake, Yuto, et al.
Published: (2024)
A polynomial chaos approach for uncertainty quantification of Monte Carlo transport codes
by: Geraci, Gianluca, et al.
Published: (2024)
by: Geraci, Gianluca, et al.
Published: (2024)
A kernel method for the learning of Wasserstein geometric flows
by: Hu, Jianyu, et al.
Published: (2025)
by: Hu, Jianyu, et al.
Published: (2025)
An Approximation Theory Framework for Measure-Transport Sampling Algorithms
by: Baptista, Ricardo, et al.
Published: (2023)
by: Baptista, Ricardo, et al.
Published: (2023)
Sharp local sparsity of regularized optimal transport
by: González-Sanz, Alberto, et al.
Published: (2026)
by: González-Sanz, Alberto, et al.
Published: (2026)
Score Operator Newton transport
by: Chandramoorthy, Nisha, et al.
Published: (2023)
by: Chandramoorthy, Nisha, et al.
Published: (2023)
Control of probability flow in Markov chain Monte Carlo -- Nonreversibility and lifting
by: Suwa, Hidemaro, et al.
Published: (2012)
by: Suwa, Hidemaro, et al.
Published: (2012)
Space-filling lattice designs for computer experiments
by: Sakai, Naoki, et al.
Published: (2026)
by: Sakai, Naoki, et al.
Published: (2026)
Accelerating Langevin Monte Carlo via Efficient Stochastic Runge--Kutta Methods beyond Log-Concavity
by: Yang, Bin, et al.
Published: (2026)
by: Yang, Bin, et al.
Published: (2026)
A global Lipschitz stability perspective for understanding approximate approaches in Bayesian sequential learning
by: Wang, Liliang, et al.
Published: (2025)
by: Wang, Liliang, et al.
Published: (2025)
On the mean-field limit for Stein variational gradient descent: stability and multilevel approximation
by: Weissmann, Simon, et al.
Published: (2024)
by: Weissmann, Simon, et al.
Published: (2024)
Can Linear Probes Measure LLM Uncertainty?
by: Dakhmouche, Ramzi, et al.
Published: (2025)
by: Dakhmouche, Ramzi, et al.
Published: (2025)
Extrapolation and generative algorithms for three applications in finance
by: LeFloch, Philippe G., et al.
Published: (2024)
by: LeFloch, Philippe G., et al.
Published: (2024)
Regularisation for the approximation of functions by mollified discretisation methods
by: Pouchol, Camille, et al.
Published: (2024)
by: Pouchol, Camille, et al.
Published: (2024)
Optimal Experimental Design for Partially Observable Pure Birth Processes
by: Eshragh, Ali, et al.
Published: (2024)
by: Eshragh, Ali, et al.
Published: (2024)
Precision and Cholesky Factor Estimation for Gaussian Processes
by: Chen, Jiaheng, et al.
Published: (2024)
by: Chen, Jiaheng, et al.
Published: (2024)
Convergence of Noise-Free Sampling Algorithms with Regularized Wasserstein Proximals
by: Han, Fuqun, et al.
Published: (2024)
by: Han, Fuqun, et al.
Published: (2024)
Geometric optics approximation sampling: near-field case
by: Sun, Zejun, et al.
Published: (2024)
by: Sun, Zejun, et al.
Published: (2024)
Uncertainty calibration for probabilistic projection methods
by: Fanaskov, Vladimir
Published: (2024)
by: Fanaskov, Vladimir
Published: (2024)
A Closed-Form Transition Density Expansion for Elliptic and Hypo-Elliptic SDEs
by: Iguchi, Yuga, et al.
Published: (2025)
by: Iguchi, Yuga, et al.
Published: (2025)
Boosted optimal weighted least-squares
by: Haberstich, Cécile, et al.
Published: (2019)
by: Haberstich, Cécile, et al.
Published: (2019)
Strong consistency of an estimator by the truncated singular value decomposition for an errors-in-variables regression model with collinearity
by: Aishima, Kensuke
Published: (2023)
by: Aishima, Kensuke
Published: (2023)
One-dimensional Tensor Network Recovery
by: Chen, Ziang, et al.
Published: (2022)
by: Chen, Ziang, et al.
Published: (2022)
Blind free deconvolution over one-parameter sparse families via eigenmatrix
by: Ying, Lexing
Published: (2025)
by: Ying, Lexing
Published: (2025)
Similar Items
-
Stein transport for Bayesian inference
by: Nüsken, Nikolas
Published: (2024) -
Sequential multiple importance sampling for high-dimensional Bayesian inference
by: Binbin, Li, et al.
Published: (2025) -
Nonparametric estimation of homogenized invariant measures from multiscale data via Hermite expansion
by: Borodavka, Jaroslav I., et al.
Published: (2025) -
Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges
by: Auddy, Arnab, et al.
Published: (2024) -
Quadratic Point Estimate Method for Probabilistic Moments Computation
by: Ko, Minhyeok, et al.
Published: (2024)