Learning Density Evolution from Snapshot Data
Fuente:
arXiv
Guardado en:
| Autores principales: | Yao, Rentian, Nitanda, Atsushi, Chen, Xiaohui, Yang, Yun |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Wasserstein Proximal Coordinate Gradient Algorithms
por: Yao, Rentian, et al.
Publicado: (2024)
por: Yao, Rentian, et al.
Publicado: (2024)
Convergence Rate of the Solution of Multi-marginal Schrodinger Bridge Problem with Marginal Constraints from SDEs
por: Yao, Rentian, et al.
Publicado: (2025)
por: Yao, Rentian, et al.
Publicado: (2025)
Statistical Analysis of the Sinkhorn Iterations for Two-Sample Schrödinger Bridge Estimation
por: Maeda, Ibuki, et al.
Publicado: (2025)
por: Maeda, Ibuki, et al.
Publicado: (2025)
BBScoreV2: Learning Time-Evolution and Latent Alignment from Stochastic Representation
por: Zhang, Tianhao, et al.
Publicado: (2024)
por: Zhang, Tianhao, et al.
Publicado: (2024)
Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots
por: Guan, Vincent, et al.
Publicado: (2024)
por: Guan, Vincent, et al.
Publicado: (2024)
Sample complexity and weak limits of nonsmooth multimarginal Schrödinger system with application to optimal transport barycenter
por: Li, Pengtao, et al.
Publicado: (2025)
por: Li, Pengtao, et al.
Publicado: (2025)
Learning Transfer Operators by Kernel Density Estimation
por: Surasinghe, Sudam, et al.
Publicado: (2022)
por: Surasinghe, Sudam, et al.
Publicado: (2022)
HAL-MLE Log-Splines Density Estimation (Part I: Univariate)
por: Hou, Yilong, et al.
Publicado: (2026)
por: Hou, Yilong, et al.
Publicado: (2026)
Learning Robust Treatment Rules for Censored Data
por: Cui, Yifan, et al.
Publicado: (2024)
por: Cui, Yifan, et al.
Publicado: (2024)
Smoothed estimation of Wasserstein barycenters
por: Li, Pengtao, et al.
Publicado: (2026)
por: Li, Pengtao, et al.
Publicado: (2026)
Learning High-dimensional Gaussians from Censored Data
por: Bhattacharyya, Arnab, et al.
Publicado: (2025)
por: Bhattacharyya, Arnab, et al.
Publicado: (2025)
A Scalable Formula for the Moments of a Family of Self-Normalized Statistics
por: Zou, Haolin, et al.
Publicado: (2025)
por: Zou, Haolin, et al.
Publicado: (2025)
Linear Regression from 1-bit Quantized Data
por: Hill, Daniel, et al.
Publicado: (2026)
por: Hill, Daniel, et al.
Publicado: (2026)
Neural Operators for Forward and Inverse Potential-Density Mappings in Classical Density Functional Theory
por: Pan, Runtong, et al.
Publicado: (2025)
por: Pan, Runtong, et al.
Publicado: (2025)
Transfer Learning with Large-Scale Quantile Regression
por: Jin, Jun, et al.
Publicado: (2022)
por: Jin, Jun, et al.
Publicado: (2022)
Central limit theorems for high dimensional dependent data
por: Chang, Jinyuan, et al.
Publicado: (2021)
por: Chang, Jinyuan, et al.
Publicado: (2021)
Inferring Covariance Structure from Multiple Data Sources via Subspace Factor Analysis
por: Chandra, Noirrit Kiran, et al.
Publicado: (2023)
por: Chandra, Noirrit Kiran, et al.
Publicado: (2023)
From Poisson Observations to Fitted Negative Binomial Distribution
por: Yang, Yingying, et al.
Publicado: (2024)
por: Yang, Yingying, et al.
Publicado: (2024)
Hierarchy of discriminative power and complexity in learning quantum ensembles
por: Yao, Jian, et al.
Publicado: (2026)
por: Yao, Jian, et al.
Publicado: (2026)
A Fast Coordinate Descent Method for High-Dimensional Non-Negative Least Squares using a Unified Sparse Regression Framework
por: Yang, James, et al.
Publicado: (2024)
por: Yang, James, et al.
Publicado: (2024)
Minimax Optimal Rates for Regression on Manifolds and Distributions
por: Tang, Rong, et al.
Publicado: (2025)
por: Tang, Rong, et al.
Publicado: (2025)
On the Computational Complexity of Metropolis-Adjusted Langevin Algorithms for Bayesian Posterior Sampling
por: Tang, Rong, et al.
Publicado: (2022)
por: Tang, Rong, et al.
Publicado: (2022)
Static and Dynamic BART for Rank-Order Data
por: Iacopini, Matteo, et al.
Publicado: (2023)
por: Iacopini, Matteo, et al.
Publicado: (2023)
Functional Adaptive Huber Linear Regression
por: Peng, Ling, et al.
Publicado: (2024)
por: Peng, Ling, et al.
Publicado: (2024)
Semiparametric mean and variance joint models with Laplace link functions for count time series
por: Liu, Tianqing, et al.
Publicado: (2024)
por: Liu, Tianqing, et al.
Publicado: (2024)
Ratio Covers of Convex Sets and Optimal Mixture Density Estimation
por: Compton, Spencer, et al.
Publicado: (2026)
por: Compton, Spencer, et al.
Publicado: (2026)
Robust Estimation of Loss Models for Truncated and Censored Severity Data
por: Poudyal, Chudamani, et al.
Publicado: (2022)
por: Poudyal, Chudamani, et al.
Publicado: (2022)
Estimation of Spatiotemporal Poisson Processes with Some Missing Location Data
por: Guigues, Vincent, et al.
Publicado: (2024)
por: Guigues, Vincent, et al.
Publicado: (2024)
Compositional Periodic Spline Approximation for Circular Density Data in Bayes Spaces
por: Machalová, Jitka, et al.
Publicado: (2026)
por: Machalová, Jitka, et al.
Publicado: (2026)
Using Exponential Histograms to Approximate the Quantiles of Heavy- and Light-Tailed Data
por: Labo, Philip T.
Publicado: (2024)
por: Labo, Philip T.
Publicado: (2024)
Hallucinations are inevitable but can be made statistically negligible
por: Suzuki, Atsushi, et al.
Publicado: (2025)
por: Suzuki, Atsushi, et al.
Publicado: (2025)
Divergence-based Robust Generalised Bayesian Inference for Directional Data via von Mises-Fisher models
por: Nakagawa, Tomoyuki, et al.
Publicado: (2025)
por: Nakagawa, Tomoyuki, et al.
Publicado: (2025)
Conditional Diffusion Models are Minimax-Optimal and Manifold-Adaptive for Conditional Distribution Estimation
por: Tang, Rong, et al.
Publicado: (2024)
por: Tang, Rong, et al.
Publicado: (2024)
Online Sparse Regression with Expanding Observables
por: Yang, Ying, et al.
Publicado: (2026)
por: Yang, Ying, et al.
Publicado: (2026)
Quantifying the effectiveness of linear preconditioning in Markov chain Monte Carlo
por: Hird, Max, et al.
Publicado: (2023)
por: Hird, Max, et al.
Publicado: (2023)
More Permutations Do Not Always Increase Power: Non-monotonicity in Monte Carlo Permutation Tests
por: Cha, Suman, et al.
Publicado: (2026)
por: Cha, Suman, et al.
Publicado: (2026)
One Step to Efficient Synthetic Data
por: Awan, Jordan, et al.
Publicado: (2020)
por: Awan, Jordan, et al.
Publicado: (2020)
Overfitting has a limitation: a model-independent generalization gap bound based on Rényi entropy
por: Suzuki, Atsushi, et al.
Publicado: (2025)
por: Suzuki, Atsushi, et al.
Publicado: (2025)
Nonparametric Inference on Unlabeled Histograms
por: Ma, Yun, et al.
Publicado: (2025)
por: Ma, Yun, et al.
Publicado: (2025)
Existence of Direct Density Ratio Estimators
por: Banzato, Erika, et al.
Publicado: (2025)
por: Banzato, Erika, et al.
Publicado: (2025)
Ejemplares similares
-
Wasserstein Proximal Coordinate Gradient Algorithms
por: Yao, Rentian, et al.
Publicado: (2024) -
Convergence Rate of the Solution of Multi-marginal Schrodinger Bridge Problem with Marginal Constraints from SDEs
por: Yao, Rentian, et al.
Publicado: (2025) -
Statistical Analysis of the Sinkhorn Iterations for Two-Sample Schrödinger Bridge Estimation
por: Maeda, Ibuki, et al.
Publicado: (2025) -
BBScoreV2: Learning Time-Evolution and Latent Alignment from Stochastic Representation
por: Zhang, Tianhao, et al.
Publicado: (2024) -
Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots
por: Guan, Vincent, et al.
Publicado: (2024)