Cover Image

A new approach to locally adaptive polynomial regression

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chatterjee, Sabyasachi, Goswami, Subhajit, Mukherjee, Soumendu Sundar
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Probability Statistics Theory Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adaptive Estimation of Multivariate Piecewise Polynomials and Bounded Variation Functions by Optimal Decision Trees
by: Chatterjee, Sabyasachi, et al.
Published: (2019)

Consistent model selection in the spiked Wigner model via AIC-type criteria
by: Mukherjee, Soumendu Sundar
Published: (2023)

Learning under Latent Group Sparsity via Diffusion on Networks
by: Ghosh, Subhroshekhar, et al.
Published: (2025)

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

High-dimensional analysis of ridge regression for non-identically distributed data with a variance profile
by: Bigot, Jérémie, et al.
Published: (2024)

Outrigger local polynomial regression
by: Young, Elliot H., et al.
Published: (2026)

High-dimensional ridge regression with random features for non-identically distributed data with a variance profile
by: Dabo, Issa-Mbenard, et al.
Published: (2025)

Estimating large causal polytrees from small samples
by: Chatterjee, Sourav, et al.
Published: (2022)

Bulk Spectra of Truncated Sample Covariance Matrices
by: Ghosh, Subhroshekhar, et al.
Published: (2024)

Probabilistic Conformal Prediction with Approximate Conditional Validity
by: Plassier, Vincent, et al.
Published: (2024)

Combining Evidence Across Filtrations
by: Choe, Yo Joong, et al.
Published: (2024)

Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion
by: He, Ye, et al.
Published: (2024)

Minimax Optimal Estimation of Transport-Growth Pairs in Unbalanced Optimal Transport
by: Ponnoprat, Donlapark, et al.
Published: (2026)

Monotone Curve Estimation via Convex Duality
by: Lim, Tongseok, et al.
Published: (2025)

Data denoising with self consistency, variance maximization, and the Kantorovich dominance
by: Hiew, Joshua Zoen-Git, et al.
Published: (2025)

Information-Theoretic Limits and Strong Consistency on Binary Non-uniform Hypergraph Stochastic Block Models
by: Wang, Hai-Xiao
Published: (2023)

The extended Ville's inequality for nonintegrable nonnegative supermartingales
by: Wang, Hongjian, et al.
Published: (2023)

Probabilistic Inference and Learning with Stein's Method
by: Liu, Qiang, et al.
Published: (2026)

Notes on Forré's Notion of Conditional Independence and Causal Calculus for Continuous Variables
by: Chen, Leihao
Published: (2026)

Sharp minimax risks and phase transitions in sparse submatrix detection
by: Goswami, Subhajit, et al.
Published: (2026)

Adversarial learning for nonparametric regression: Minimax rate and adaptive estimation
by: Peng, Jingfu, et al.
Published: (2025)

Complete Causal Identification from Ancestral Graphs under Selection Bias
by: Chen, Leihao, et al.
Published: (2026)

Computationally efficient reductions between some statistical models
by: Lou, Mengqi, et al.
Published: (2024)

Maximum entropy based testing in network models: ERGMs and constrained optimization
by: Ghosh, Subhro, et al.
Published: (2026)

Minimax optimal adaptive structured transfer learning through semi-parametric domain-varying coefficient model
by: Chen, Hanxiao, et al.
Published: (2026)

Edge spectra of Gaussian random symmetric matrices with correlated entries
by: Banerjee, Debapratim, et al.
Published: (2024)

Efficient Online Learning in Interacting Particle Systems
by: Sharrock, Louis, et al.
Published: (2026)

Dimension-free bounds in high-dimensional linear regression via error-in-operator approach
by: Noskov, Fedor, et al.
Published: (2025)

Sharp adaptive and pathwise stable similarity testing for scalar ergodic diffusions
by: Brutsche, Johannes, et al.
Published: (2022)

Handling bounded response in high dimensions: a Horseshoe prior Bayesian Beta regression approach
by: Mai, The Tien
Published: (2025)

A new approach for imprecise probabilities
by: Basili, Marcello, et al.
Published: (2024)

Sufficient digits and density estimation: A Bayesian nonparametric approach using generalized finite Pólya trees
by: Beraha, Mario, et al.
Published: (2025)

Optimal estimators of cross-partial derivatives and surrogates of functions
by: Lamboni, Matieyendou
Published: (2024)

Augmented transfer regression learning for completely missing covariates
by: Zhao, Huali, et al.
Published: (2026)

Optimal Nuisance Function Tuning for Estimating a Doubly Robust Functional under Proportional Asymptotics
by: McGrath, Sean, et al.
Published: (2025)

Boosting the Power of Kernel Two-Sample Tests
by: Chatterjee, Anirban, et al.
Published: (2023)

High-dimensional Bayesian Tobit regression for censored response with Horseshoe prior
by: Mai, The Tien
Published: (2025)

Interaction Screening and Pseudolikelihood Approaches for Tensor Learning in Ising Models
by: Liu, Tianyu, et al.
Published: (2023)

Adaptive Estimation and Inference in Semi-parametric Heterogeneous Clustered Multitask Learning via Neyman Orthogonality
by: Chen, Hanxiao, et al.
Published: (2026)

A Kernel-Based Conditional Two-Sample Test Using Nearest Neighbors (with Applications to Calibration, Regression Curves, and Simulation-Based Inference)
by: Chatterjee, Anirban, et al.
Published: (2024)