Cover Image

Inverse learning in Hilbert scales

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rastogi, Abhishake, Mathé, Peter
Format:	Preprint
Published:	2020
Subjects:	Statistics Theory Machine Learning 62G20
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Convergence analysis of Tikhonov regularization for non-linear statistical inverse learning problems
by: Rastogi, Abhishake, et al.
Published: (2019)

Tikhonov regularization with oversmoothing penalty for nonlinear statistical inverse problems
by: Rastogi, Abhishake
Published: (2020)

Statistical Inverse Problems in Hilbert Scales
by: Rastogi, Abhishake
Published: (2022)

Optimal minimax rate of learning nonlocal interaction kernels
by: Wang, Xiong, et al.
Published: (2023)

Estimating a Function and Its Derivatives Under a Smoothness Condition
by: Lim, Eunji
Published: (2024)

Nonparametric Conditional Local Independence Testing
by: Christgau, Alexander Mangulad, et al.
Published: (2022)

Designing truncated priors for direct and inverse Bayesian problems
by: Agapiou, Sergios, et al.
Published: (2021)

New Risk Bounds for 2D Total Variation Denoising
by: Chatterjee, Sabyasachi, et al.
Published: (2019)

Deep Horseshoe Gaussian Processes
by: Castillo, Ismaël, et al.
Published: (2024)

Entrywise error bounds for low-rank approximations of kernel matrices
by: Modell, Alexander
Published: (2024)

Minimax And Adaptive Transfer Learning for Nonparametric Classification under Distributed Differential Privacy Constraints
by: Auddy, Arnab, et al.
Published: (2024)

Factor Informed Double Deep Learning For Average Treatment Effect Estimation
by: Fan, Jianqing, et al.
Published: (2025)

Efficient adjustment for complex covariates: Gaining efficiency with DOPE
by: Christgau, Alexander Mangulad, et al.
Published: (2024)

Asymptotic confidence bands for centered purely random forests
by: Neumeyer, Natalie, et al.
Published: (2025)

Deep learning with missing data
by: Ma, Tianyi, et al.
Published: (2025)

The Minimax Risk in Testing Uniformity over Large Alphabets under Missing-Ball Alternatives
by: Kipnis, Alon
Published: (2023)

Learning the score under shape constraints
by: Lewis, Rebecca M., et al.
Published: (2025)

Empirical Bayes large-scale multiple testing for high-dimensional binary outcome data
by: Ning, Yu-Chien Bo
Published: (2023)

Statistical Convergence Rates of Optimal Transport Map Estimation between General Distributions
by: Ding, Yizhe, et al.
Published: (2024)

Doubly Robust Inference on Causal Derivative Effects for Continuous Treatments
by: Zhang, Yikun, et al.
Published: (2025)

Kernel Single-Index Bandits: Estimation, Inference, and Learning
by: Arya, Sakshi, et al.
Published: (2026)

Inference with Mondrian Random Forests
by: Cattaneo, Matias D., et al.
Published: (2023)

Imbalanced Classification under Capacity Constraints
by: Fraiman, Daniel, et al.
Published: (2026)

Cheap Permutation Testing
by: Domingo-Enrich, Carles, et al.
Published: (2025)

Nonparametric regression on random geometric graphs sampled from submanifolds
by: Rosa, Paul, et al.
Published: (2024)

On uniqueness of the set of k-means
by: Cárcamo, Javier, et al.
Published: (2024)

Minimax rates for learning kernels in operators
by: Zhang, Sichong, et al.
Published: (2025)

A new and flexible class of sharp asymptotic time-uniform confidence sequences
by: Gnettner, Felix, et al.
Published: (2025)

An operator learning perspective on parameter-to-observable maps
by: Huang, Daniel Zhengyu, et al.
Published: (2024)

Asymptotically efficient estimation under local constraint in Wicksell's problem
by: Gili, Francesco, et al.
Published: (2024)

Semiparametric Bernstein-von Mises Phenomenon via Isotonized Posterior in Wicksell's problem
by: Gili, Francesco, et al.
Published: (2025)

Differentially Private Joint Independence Test
by: Liu, Xingwei, et al.
Published: (2025)

Kernel-Based Nonparametric Tests For Shape Constraints
by: Sen, Rohan
Published: (2025)

Efficiency of pattern-based independence test
by: Baringhaus, L., et al.
Published: (2026)

U-statistic based on overlapping sample spacings
by: Singh, Rahul, et al.
Published: (2021)

Uniform Confidence Band for Optimal Transport Map on One-Dimensional Data
by: Ponnoprat, Donlapark, et al.
Published: (2023)

Adaptive estimation of $\mathbb{L}_2$-norm of a probability density and related topics I. Lower bounds
by: Cleanthous, Galatia, et al.
Published: (2024)

Heavy-tailed Bayesian nonparametric adaptation
by: Agapiou, Sergios, et al.
Published: (2023)

Noise-resilient penalty operators based on statistical differentiation schemes
by: Vidal, Marc, et al.
Published: (2026)

The minimax optimal convergence rate of posterior density in the weighted orthogonal polynomials
by: Luo, Yiqi, et al.
Published: (2026)