Image de couverture de livre

Beyond Consistency: Inference for the Relative risk functional in Deep Nonparametric Cox Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ghosal, Sattwik, Meng, Xuran, Li, Yi
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Statistics Theory
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Inference for Deep Neural Network Estimators in Generalized Nonparametric Models
par: Meng, Xuran, et autres
Publié: (2025)

Nonparametric Factor Analysis and Beyond
par: Zheng, Yujia, et autres
Publié: (2025)

Communication-Efficient Distributed Estimation and Inference for Cox's Model
par: Bayle, Pierre, et autres
Publié: (2023)

Statistical Inference for Linear Functionals of Online Least-squares SGD when $t \gtrsim d^{1+δ}$
par: Agrawalla, Bhavya, et autres
Publié: (2025)

Extrapolation-Aware Nonparametric Statistical Inference
par: Pfister, Niklas, et autres
Publié: (2024)

Subgroup Discovery with the Cox Model
par: Izzo, Zachary, et autres
Publié: (2025)

Nonparametric Instrumental Variable Inference with Many Weak Instruments
par: van der Laan, Lars, et autres
Publié: (2025)

Statistical Inference on High Dimensional Gaussian Graphical Regression Models
par: Meng, Xuran, et autres
Publié: (2024)

Online Quantile Regression for Nonparametric Additive Models
par: Zhan, Haoran
Publié: (2026)

Debiased Nonparametric Regression for Statistical Inference and Distributionally Robustness
par: Kato, Masahiro
Publié: (2024)

Transfer Learning for Nonparametric Contextual Dynamic Pricing
par: Wang, Fan, et autres
Publié: (2025)

Statistical Inference for Linear Functionals of Online SGD in High-dimensional Linear Regression
par: Agrawalla, Bhavya, et autres
Publié: (2023)

Nonparametric Instrumental Variable Regression with Observed Covariates
par: Shen, Zikai, et autres
Publié: (2025)

Batched Nonparametric Contextual Bandits
par: Jiang, Rong, et autres
Publié: (2024)

Nonparametric logistic regression with deep learning
par: Yara, Atsutomo, et autres
Publié: (2024)

Minimax-optimal and Locally-adaptive Online Nonparametric Regression
par: Liautaud, Paul, et autres
Publié: (2024)

Nonsmooth Nonparametric Regression via Fractional Laplacian Eigenmaps
par: Shi, Zhaoyang, et autres
Publié: (2024)

Optimal Demixing of Nonparametric Densities
par: Fan, Jianqing, et autres
Publié: (2026)

Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables
par: Li, Zheng, et autres
Publié: (2024)

Provable FDR Control for Deep Feature Selection: Deep MLPs and Beyond
par: Sawaya, Kazuma
Publié: (2025)

Finite-Particle Rates for Regularized Stein Variational Gradient Descent
par: He, Ye, et autres
Publié: (2026)

SPDE Methods for Nonparametric Bayesian Posterior Contraction and Laplace Approximation
par: Alberola-Boloix, Enric, et autres
Publié: (2026)

Nonparametric Estimation of Joint Entropy via Partitioned Sample-Spacing
par: Ho, Jungwoo, et autres
Publié: (2025)

Minimax Adaptive Online Nonparametric Regression over Besov Spaces
par: Liautaud, Paul, et autres
Publié: (2025)

Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent
par: Banerjee, Sayan, et autres
Publié: (2024)

Nested Nonparametric Instrumental Variable Regression
par: Meza, Isaac, et autres
Publié: (2021)

Deep Nonparametric Conditional Independence Tests for Images
par: Simnacher, Marco, et autres
Publié: (2024)

Nonparametric Instrumental Variable Analysis Without Structural Equations: Debiased Inference on Functionals of Inverse Problems with No Solutions
par: Shen, Zikai, et autres
Publié: (2026)

A Theory of Nonparametric Covariance Function Estimation for Discretely Observed Data
par: Terada, Yoshikazu, et autres
Publié: (2026)

Nonparametric MLE for Gaussian Location Mixtures: Certified Computation and Generic Behavior
par: Polyanskiy, Yury, et autres
Publié: (2025)

Model-free Estimation of Latent Structure via Multiscale Nonparametric Maximum Likelihood
par: Aragam, Bryon, et autres
Publié: (2024)

Sharp Generalization for Nonparametric Regression in Interpolation Space by Over-Parameterized Neural Networks Trained with Preconditioned Gradient Descent and Early Stopping
par: Yang, Yingzhen, et autres
Publié: (2024)

Nonparametric regression using over-parameterized shallow ReLU neural networks
par: Yang, Yunfei, et autres
Publié: (2023)

The Adaptivity Barrier in Batched Nonparametric Bandits: Sharp Characterization of the Price of Unknown Margin
par: Jiang, Rong, et autres
Publié: (2025)

Nonparametric spectral density estimation using interactive mechanisms under local differential privacy
par: Butucea, Cristina, et autres
Publié: (2025)

Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal
par: Yuan, Deheng, et autres
Publié: (2025)

Inference on Variable Importance for Treatment Effect Heterogeneity: Shapley Values and Beyond
par: Morzywolek, Pawel, et autres
Publié: (2025)

Bayesian Inference with Shaped Deep Non-linear MLPs
par: Hanin, Boris, et autres
Publié: (2026)

Strongly Consistent Community Detection in Popularity Adjusted Block Models
par: Yuan, Quan, et autres
Publié: (2025)

Beyond Scores: Proximal Diffusion Models
par: Fang, Zhenghan, et autres
Publié: (2025)