Online Quantile Regression for Nonparametric Additive Models
Fuente:
arXiv
Saved in:
| Main Author: | Zhan, Haoran |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Minimax-optimal and Locally-adaptive Online Nonparametric Regression
by: Liautaud, Paul, et al.
Published: (2024)
by: Liautaud, Paul, et al.
Published: (2024)
Minimax Adaptive Online Nonparametric Regression over Besov Spaces
by: Liautaud, Paul, et al.
Published: (2025)
by: Liautaud, Paul, et al.
Published: (2025)
Consistency for Large Neural Networks: Regression and Classification
by: Zhan, Haoran, et al.
Published: (2024)
by: Zhan, Haoran, et al.
Published: (2024)
Minimax Linear Regression under the Quantile Risk
by: Hanchi, Ayoub El, et al.
Published: (2024)
by: Hanchi, Ayoub El, et al.
Published: (2024)
Nonparametric Instrumental Variable Regression with Observed Covariates
by: Shen, Zikai, et al.
Published: (2025)
by: Shen, Zikai, et al.
Published: (2025)
Nested Nonparametric Instrumental Variable Regression
by: Meza, Isaac, et al.
Published: (2021)
by: Meza, Isaac, et al.
Published: (2021)
Nonsmooth Nonparametric Regression via Fractional Laplacian Eigenmaps
by: Shi, Zhaoyang, et al.
Published: (2024)
by: Shi, Zhaoyang, et al.
Published: (2024)
Asymptotic Theory and Phase Transitions for Variable Importance in Quantile Regression Forests
by: Nakamura, Tomoshige, et al.
Published: (2025)
by: Nakamura, Tomoshige, et al.
Published: (2025)
Transfer Learning for High-dimensional Quantile Regression with Distribution Shift
by: Bai, Ruiqi, et al.
Published: (2024)
by: Bai, Ruiqi, et al.
Published: (2024)
Generalized Bayesian Additive Regression Trees: Theory and Software
by: Saha, Enakshi
Published: (2023)
by: Saha, Enakshi
Published: (2023)
Debiased Nonparametric Regression for Statistical Inference and Distributionally Robustness
by: Kato, Masahiro
Published: (2024)
by: Kato, Masahiro
Published: (2024)
Online Estimation with Rolling Validation: Adaptive Nonparametric Estimation with Streaming Data
by: Zhang, Tianyu, et al.
Published: (2023)
by: Zhang, Tianyu, et al.
Published: (2023)
Online and Offline Robust Multivariate Linear Regression
by: Godichon-Baggioni, Antoine, et al.
Published: (2024)
by: Godichon-Baggioni, Antoine, et al.
Published: (2024)
Sharp Generalization for Nonparametric Regression in Interpolation Space by Over-Parameterized Neural Networks Trained with Preconditioned Gradient Descent and Early Stopping
by: Yang, Yingzhen, et al.
Published: (2024)
by: Yang, Yingzhen, et al.
Published: (2024)
Online Quantile Regression
by: Shen, Yinan, et al.
Published: (2024)
by: Shen, Yinan, et al.
Published: (2024)
Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective
by: Feldman, Joseph, et al.
Published: (2023)
by: Feldman, Joseph, et al.
Published: (2023)
Inference for Deep Neural Network Estimators in Generalized Nonparametric Models
by: Meng, Xuran, et al.
Published: (2025)
by: Meng, Xuran, et al.
Published: (2025)
Nonparametric Factor Analysis and Beyond
by: Zheng, Yujia, et al.
Published: (2025)
by: Zheng, Yujia, et al.
Published: (2025)
Batched Nonparametric Contextual Bandits
by: Jiang, Rong, et al.
Published: (2024)
by: Jiang, Rong, et al.
Published: (2024)
Kernel Quantile Embeddings and Associated Probability Metrics
by: Naslidnyk, Masha, et al.
Published: (2025)
by: Naslidnyk, Masha, et al.
Published: (2025)
Nonparametric logistic regression with deep learning
by: Yara, Atsutomo, et al.
Published: (2024)
by: Yara, Atsutomo, et al.
Published: (2024)
Beyond Consistency: Inference for the Relative risk functional in Deep Nonparametric Cox Models
by: Ghosal, Sattwik, et al.
Published: (2026)
by: Ghosal, Sattwik, et al.
Published: (2026)
Deep Distributional Learning with Non-crossing Quantile Network
by: Shen, Guohao, et al.
Published: (2025)
by: Shen, Guohao, et al.
Published: (2025)
A Piecewise Lyapunov Analysis of Sub-quadratic SGD: Applications to Robust and Quantile Regression
by: Zhang, Yixuan, et al.
Published: (2025)
by: Zhang, Yixuan, et al.
Published: (2025)
Efficient and Minimax Optimal In-context Nonparametric Regression with Transformers
by: Ching, Michelle, et al.
Published: (2026)
by: Ching, Michelle, et al.
Published: (2026)
Optimal Demixing of Nonparametric Densities
by: Fan, Jianqing, et al.
Published: (2026)
by: Fan, Jianqing, et al.
Published: (2026)
Higher-Order Causal Structure Learning with Additive Models
by: Enouen, James, et al.
Published: (2025)
by: Enouen, James, et al.
Published: (2025)
SPDE Methods for Nonparametric Bayesian Posterior Contraction and Laplace Approximation
by: Alberola-Boloix, Enric, et al.
Published: (2026)
by: Alberola-Boloix, Enric, et al.
Published: (2026)
Nonparametric Estimation of Joint Entropy via Partitioned Sample-Spacing
by: Ho, Jungwoo, et al.
Published: (2025)
by: Ho, Jungwoo, et al.
Published: (2025)
Boosting Causal Additive Models
by: Kertel, Maximilian, et al.
Published: (2024)
by: Kertel, Maximilian, et al.
Published: (2024)
Extrapolation-Aware Nonparametric Statistical Inference
by: Pfister, Niklas, et al.
Published: (2024)
by: Pfister, Niklas, et al.
Published: (2024)
A Theory of Nonparametric Covariance Function Estimation for Discretely Observed Data
by: Terada, Yoshikazu, et al.
Published: (2026)
by: Terada, Yoshikazu, et al.
Published: (2026)
Nonparametric MLE for Gaussian Location Mixtures: Certified Computation and Generic Behavior
by: Polyanskiy, Yury, et al.
Published: (2025)
by: Polyanskiy, Yury, et al.
Published: (2025)
Online Covariance Estimation in Averaged SGD: Improved Batch-Mean Rates and Minimax Optimality via Trajectory Regression
by: Ni, Yijin, et al.
Published: (2026)
by: Ni, Yijin, et al.
Published: (2026)
Model-free Estimation of Latent Structure via Multiscale Nonparametric Maximum Likelihood
by: Aragam, Bryon, et al.
Published: (2024)
by: Aragam, Bryon, et al.
Published: (2024)
Direct Doubly Robust Estimation of Conditional Quantile Contrasts
by: Givens, Josh, et al.
Published: (2026)
by: Givens, Josh, et al.
Published: (2026)
Transfer Learning for Nonparametric Contextual Dynamic Pricing
by: Wang, Fan, et al.
Published: (2025)
by: Wang, Fan, et al.
Published: (2025)
Nonparametric regression using over-parameterized shallow ReLU neural networks
by: Yang, Yunfei, et al.
Published: (2023)
by: Yang, Yunfei, et al.
Published: (2023)
The Adaptivity Barrier in Batched Nonparametric Bandits: Sharp Characterization of the Price of Unknown Margin
by: Jiang, Rong, et al.
Published: (2025)
by: Jiang, Rong, et al.
Published: (2025)
Local Learning for Covariate Selection in Nonparametric Causal Effect Estimation with Latent Variables
by: Li, Zheng, et al.
Published: (2024)
by: Li, Zheng, et al.
Published: (2024)
Similar Items
-
Minimax-optimal and Locally-adaptive Online Nonparametric Regression
by: Liautaud, Paul, et al.
Published: (2024) -
Minimax Adaptive Online Nonparametric Regression over Besov Spaces
by: Liautaud, Paul, et al.
Published: (2025) -
Consistency for Large Neural Networks: Regression and Classification
by: Zhan, Haoran, et al.
Published: (2024) -
Minimax Linear Regression under the Quantile Risk
by: Hanchi, Ayoub El, et al.
Published: (2024) -
Nonparametric Instrumental Variable Regression with Observed Covariates
by: Shen, Zikai, et al.
Published: (2025)