Cover Image

Finite sample bounds for barycenter estimation in geodesic spaces

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Brunel, Victor-Emmanuel, Serres, Jordan
Format:	Preprint
Published:	2025
Subjects:	Statistics Theory Probability Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A generalization of Grünbaum's inequality in RCD$(0,N)$-spaces
by: Brunel, Victor-Emmanuel, et al.
Published: (2024)

Sharp bounds on aggregate expert error
by: Kontorovich, Aryeh, et al.
Published: (2024)

kTULA: A Langevin sampling algorithm with improved KL bounds under super-linear log-gradients
by: Lytras, Iosif, et al.
Published: (2025)

Instance-dependent uniform tail bounds for empirical processes
by: Bahmani, Sohail
Published: (2022)

Low-degree Lower bounds for clustering in moderate dimension
by: Carpentier, Alexandra, et al.
Published: (2026)

Asymptotically optimal sequential change detection for bounded means
by: Ram, Ashwin, et al.
Published: (2026)

Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent
by: Banerjee, Sayan, et al.
Published: (2024)

Finite-Dimensional Gaussian Approximation for Deep Neural Networks: Universality in Random Weights
by: Balasubramanian, Krishnakumar, et al.
Published: (2025)

Dimension-free error estimate for diffusion model and optimal scheduling
by: de Bortoli, Valentin, et al.
Published: (2025)

Analysis of a multi-target linear shrinkage covariance estimator
by: Oriol, Benoit
Published: (2024)

Computational and statistical lower bounds for low-rank estimation under general inhomogeneous noise
by: De, Debsurya, et al.
Published: (2025)

A Fourier representation of kernel Stein discrepancy with application to Goodness-of-Fit tests for measures on infinite dimensional Hilbert spaces
by: Wynne, George, et al.
Published: (2022)

Achieving the Kesten-Stigum bound in the non-uniform hypergraph stochastic block model
by: Fernandez V, Manuel, et al.
Published: (2026)

Sampling from multimodal distributions with warm starts: Non-asymptotic bounds for the Reweighted Annealed Leap-Point Sampler
by: Lee, Holden, et al.
Published: (2025)

Non-asymptotic estimates for accelerated high order Langevin Monte Carlo algorithms
by: Neufeld, Ariel, et al.
Published: (2024)

Asymptotics of constrained $M$-estimation under convexity
by: Brunel, Victor-Emmanuel
Published: (2025)

$K-$means with learned metrics
by: Groisman, Pablo, et al.
Published: (2026)

Asymptotic spectrum of weighted sample covariance: another proof of spectrum convergence
by: Oriol, Benoit
Published: (2024)

Lipschitz regularity in Flow Matching and Diffusion Models: sharp sampling rates and functional inequalities
by: Stéphanovitch, Arthur
Published: (2026)

Orlicz regrets to consistently bound statistics of random variables with an application to environmental indicators
by: Yoshioka, Hidekazu, et al.
Published: (2023)

Statistical limits of correlation detection in trees
by: Ganassali, Luca, et al.
Published: (2022)

Learning bounded-degree polytrees with known skeleton
by: Choo, Davin, et al.
Published: (2023)

Learning with Expected Signatures: Theory and Applications
by: Lucchese, Lorenzo, et al.
Published: (2025)

Nonlinear Bayesian Update via Ensemble Kernel Regression with Clustering and Subsampling
by: Lee, Yoonsang
Published: (2025)

Gradient-flow SDEs have unique transient population dynamics
by: Guan, Vincent, et al.
Published: (2025)

On Experiments
by: van Rooyen, Brendan
Published: (2025)

Limit Theorems for Stochastic Gradient Descent in High-Dimensional Single-Layer Networks
by: Rangriz, Parsa
Published: (2025)

A variational approach to dimension-free self-normalized concentration
by: Chugg, Ben, et al.
Published: (2025)

A Computational Transition for Detecting Multivariate Shuffled Linear Regression by Low-Degree Polynomials
by: Li, Zhangsong
Published: (2025)

Dimension-Free Bounds for Generalized First-Order Methods via Gaussian Coupling
by: Reeves, Galen
Published: (2025)

The feasibility of multi-graph alignment: a Bayesian approach
by: Vassaux, Louis, et al.
Published: (2025)

Sampling conditioned diffusions via Pathspace Projected Monte Carlo
by: Grafke, Tobias
Published: (2025)

Phase Transition for Stochastic Block Model with more than $\sqrt{n}$ Communities
by: Carpentier, Alexandra, et al.
Published: (2025)

Revenue Maximization Under Sequential Price Competition Via The Estimation Of s-Concave Demand Functions
by: Bracale, Daniele, et al.
Published: (2025)

Poisson Midpoint Method for Log Concave Sampling: Beyond the Strong Error Lower Bounds
by: Srinivasan, Rishikesh, et al.
Published: (2025)

Variational Tail Bounds for Norms of Random Vectors and Matrices
by: Bahmani, Sohail
Published: (2025)

On the Injective Norm of Sums of Random Tensors and the Moments of Gaussian Chaoses
by: Aden-Ali, Ishaq
Published: (2025)

Minimax Rates for Learning Pairwise Interactions in Attention-Style Models
by: Zucker, Shai, et al.
Published: (2025)

Phase Transition for Stochastic Block Model with more than $\sqrt{n}$ Communities (II)
by: Carpentier, Alexandra, et al.
Published: (2025)

On the distance between mean and geometric median in high dimensions
by: Schwank, Richard, et al.
Published: (2025)