:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Yao, Rentian, Nitanda, Atsushi, Chen, Xiaohui, Yang, Yun
Format:	Preprint
Published:	2025
Subjects:	Statistics Theory Computation
Online Access:	https://arxiv.org/abs/2502.17738
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Wasserstein Proximal Coordinate Gradient Algorithms
by: Yao, Rentian, et al.
Published: (2024)

Convergence Rate of the Solution of Multi-marginal Schrodinger Bridge Problem with Marginal Constraints from SDEs
by: Yao, Rentian, et al.
Published: (2025)

Statistical Analysis of the Sinkhorn Iterations for Two-Sample Schrödinger Bridge Estimation
by: Maeda, Ibuki, et al.
Published: (2025)

BBScoreV2: Learning Time-Evolution and Latent Alignment from Stochastic Representation
by: Zhang, Tianhao, et al.
Published: (2024)

Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots
by: Guan, Vincent, et al.
Published: (2024)

Sample complexity and weak limits of nonsmooth multimarginal Schrödinger system with application to optimal transport barycenter
by: Li, Pengtao, et al.
Published: (2025)

Learning Transfer Operators by Kernel Density Estimation
by: Surasinghe, Sudam, et al.
Published: (2022)

Learning Robust Treatment Rules for Censored Data
by: Cui, Yifan, et al.
Published: (2024)

Smoothed estimation of Wasserstein barycenters
by: Li, Pengtao, et al.
Published: (2026)

HAL-MLE Log-Splines Density Estimation (Part I: Univariate)
by: Hou, Yilong, et al.
Published: (2026)

Hierarchy of discriminative power and complexity in learning quantum ensembles
by: Yao, Jian, et al.
Published: (2026)

Neural Operators for Forward and Inverse Potential-Density Mappings in Classical Density Functional Theory
by: Pan, Runtong, et al.
Published: (2025)

Learning High-dimensional Gaussians from Censored Data
by: Bhattacharyya, Arnab, et al.
Published: (2025)

Central limit theorems for high dimensional dependent data
by: Chang, Jinyuan, et al.
Published: (2021)

A Scalable Formula for the Moments of a Family of Self-Normalized Statistics
by: Zou, Haolin, et al.
Published: (2025)

Linear Regression from 1-bit Quantized Data
by: Hill, Daniel, et al.
Published: (2026)

Hallucinations are inevitable but can be made statistically negligible
by: Suzuki, Atsushi, et al.
Published: (2025)

Transfer Learning with Large-Scale Quantile Regression
by: Jin, Jun, et al.
Published: (2022)

Semiparametric mean and variance joint models with Laplace link functions for count time series
by: Liu, Tianqing, et al.
Published: (2024)

Functional Adaptive Huber Linear Regression
by: Peng, Ling, et al.
Published: (2024)

Ratio Covers of Convex Sets and Optimal Mixture Density Estimation
by: Compton, Spencer, et al.
Published: (2026)

Inferring Covariance Structure from Multiple Data Sources via Subspace Factor Analysis
by: Chandra, Noirrit Kiran, et al.
Published: (2023)

Minimax Optimal Rates for Regression on Manifolds and Distributions
by: Tang, Rong, et al.
Published: (2025)

On the Computational Complexity of Metropolis-Adjusted Langevin Algorithms for Bayesian Posterior Sampling
by: Tang, Rong, et al.
Published: (2022)

From Poisson Observations to Fitted Negative Binomial Distribution
by: Yang, Yingying, et al.
Published: (2024)

Static and Dynamic BART for Rank-Order Data
by: Iacopini, Matteo, et al.
Published: (2023)

A Fast Coordinate Descent Method for High-Dimensional Non-Negative Least Squares using a Unified Sparse Regression Framework
by: Yang, James, et al.
Published: (2024)

Estimation of Riemannian Quantities from Noisy Data via Density Derivatives
by: Chen, Junhao, et al.
Published: (2026)

Overfitting has a limitation: a model-independent generalization gap bound based on Rényi entropy
by: Suzuki, Atsushi, et al.
Published: (2025)

Robust Estimation of Loss Models for Truncated and Censored Severity Data
by: Poudyal, Chudamani, et al.
Published: (2022)

Estimation of Spatiotemporal Poisson Processes with Some Missing Location Data
by: Guigues, Vincent, et al.
Published: (2024)

Compositional Periodic Spline Approximation for Circular Density Data in Bayes Spaces
by: Machalová, Jitka, et al.
Published: (2026)

Using Exponential Histograms to Approximate the Quantiles of Heavy- and Light-Tailed Data
by: Labo, Philip T.
Published: (2024)

Nonparametric Inference on Unlabeled Histograms
by: Ma, Yun, et al.
Published: (2025)

Conditional Diffusion Models are Minimax-Optimal and Manifold-Adaptive for Conditional Distribution Estimation
by: Tang, Rong, et al.
Published: (2024)

One Step to Efficient Synthetic Data
by: Awan, Jordan, et al.
Published: (2020)

Divergence-based Robust Generalised Bayesian Inference for Directional Data via von Mises-Fisher models
by: Nakagawa, Tomoyuki, et al.
Published: (2025)

Quantifying the effectiveness of linear preconditioning in Markov chain Monte Carlo
by: Hird, Max, et al.
Published: (2023)

More Permutations Do Not Always Increase Power: Non-monotonicity in Monte Carlo Permutation Tests
by: Cha, Suman, et al.
Published: (2026)

A Bayesian approach to learning mixtures of nonparametric components
by: Zhang, Yilei, et al.
Published: (2025)