Cover Image

High-order Accurate Inference on Manifolds

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Chengzhu, Zhang, Anru R.
Format:	Preprint
Published:	2025
Subjects:	Statistics Theory Numerical Analysis Optimization and Control Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Tensor-on-Tensor Regression: Riemannian Optimization, Over-parameterization, Statistical-computational Gap, and Their Interplay
by: Luo, Yuetian, et al.
Published: (2022)

Estimating Higher-Order Mixed Memberships via the $\ell_{2,\infty}$ Tensor Perturbation Bound
by: Agterberg, Joshua, et al.
Published: (2022)

Mode-wise Principal Subspace Pursuit and Matrix Spiked Covariance Model
by: Tang, Runshi, et al.
Published: (2023)

Revisit CP Tensor Decomposition: Statistical Optimality and Fast Convergence
by: Tang, Runshi, et al.
Published: (2025)

Inference-Time Alignment for Diffusion Models via Variationally Stable Doob's Matching
by: Chang, Jinyuan, et al.
Published: (2026)

Randomization Inference When N Equals One
by: Liang, Tengyuan, et al.
Published: (2023)

Well-posedness and approximation of reflected McKean-Vlasov SDEs with applications
by: Hinds, P. D., et al.
Published: (2024)

Online Statistical Inference of Constrained Stochastic Optimization via Random Scaling
by: Du, Xinchen, et al.
Published: (2025)

An algorithm for a constrained P-spline
by: Campagna, Rosanna, et al.
Published: (2025)

Contributions to Robust and Efficient Methods for Analysis of High Dimensional Data
by: Yang, Kai
Published: (2025)

Non-asymptotic convergence bounds for modified tamed unadjusted Langevin algorithm in non-convex setting
by: Neufeld, Ariel, et al.
Published: (2022)

What are You Weighting For? Improved Weights for Gaussian Mixture Filtering With Application to Cislunar Orbit Determination
by: Durant, Dalton, et al.
Published: (2024)

Stochastic Regret Guarantees for Online Zeroth- and First-Order Bilevel Optimization
by: Nazari, Parvin, et al.
Published: (2025)

Basic Inequalities for First-Order Optimization with Applications to Statistical Risk Analysis
by: Paik, Seunghoon, et al.
Published: (2025)

Accuracy of the Ensemble Kalman Filter in the Near-Linear Setting
by: Calvello, Edoardo, et al.
Published: (2024)

On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models
by: Zhang, Yangjing, et al.
Published: (2022)

Derivative-Free Sequential Quadratic Programming for Equality-Constrained Stochastic Optimization
by: Na, Sen
Published: (2025)

A novel sequential method for building upper and lower bounds of moments of distributions
by: Martin, Solal, et al.
Published: (2025)

The Ensemble Epanechnikov Mixture Filter
by: Popov, Andrey A., et al.
Published: (2024)

Sequential multiple importance sampling for high-dimensional Bayesian inference
by: Binbin, Li, et al.
Published: (2025)

Measure transport with kernel mean embeddings
by: Wang, L., et al.
Published: (2024)

One-dimensional Tensor Network Recovery
by: Chen, Ziang, et al.
Published: (2022)

Tensor Methods in High Dimensional Data Analysis: Opportunities and Challenges
by: Auddy, Arnab, et al.
Published: (2024)

Nyström Approximation on Manifolds
by: Nie, Hantao, et al.
Published: (2026)

Nonparametric estimation of homogenized invariant measures from multiscale data via Hermite expansion
by: Borodavka, Jaroslav I., et al.
Published: (2025)

Inexact Newton Methods for Solving Generalized Equations on Riemannian Manifolds
by: Louzeiro, Mauricio S., et al.
Published: (2023)

Statistical Inference for Low-Rank Tensors: Heteroskedasticity, Subgaussianity, and Applications
by: Agterberg, Joshua, et al.
Published: (2024)

Optimal Sparse Singular Value Decomposition for High-dimensional High-order Data
by: Zhang, Anru, et al.
Published: (2018)

Fenchel Duality Theory and A Primal-Dual Algorithm on Riemannian Manifolds
by: Bergmann, Ronny, et al.
Published: (2019)

Beyond Maximum Likelihood: Variational Inequality Estimation for Generalized Linear Models
by: Zhu, Linglingzhi, et al.
Published: (2025)

Statistical Analysis of Conditional Group Distributionally Robust Optimization with Cross-Entropy Loss
by: Guo, Zijian, et al.
Published: (2025)

G{é}n{é}ration de Matrices de Corr{é}lation avec des Structures de Graphe par Optimisation Convexe
by: Fahkar, Ali, et al.
Published: (2025)

Low-Rank Thinning
by: Carrell, Annabelle Michael, et al.
Published: (2025)

Generating Correlation Matrices with Graph Structures Using Convex Optimization
by: Fakhar, Ali, et al.
Published: (2025)

$K$-Nearest-Neighbor Resampling for Off-Policy Evaluation in Stochastic Control
by: Giegrich, Michael, et al.
Published: (2023)

Causal Invariance Learning via Efficient Nonconvex Optimization
by: Wang, Zhenyu, et al.
Published: (2024)

Selecting the Best Optimizing System
by: Si, Nian, et al.
Published: (2022)

Stein transport for Bayesian inference
by: Nüsken, Nikolas
Published: (2024)

Quadratic Point Estimate Method for Probabilistic Moments Computation
by: Ko, Minhyeok, et al.
Published: (2024)

Non-Asymptotic Analysis of Ensemble Kalman Updates: Effective Dimension and Localization
by: Ghattas, Omar Al, et al.
Published: (2022)