Saved in:
| Main Authors: | Ho, Jungwoo, Park, Sangun, Oh, Soyeong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.13602 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Partitioning the Sample Space for a More Precise Shannon Entropy Estimation
by: Bastos, Gabriel F. A., et al.
Published: (2025)
by: Bastos, Gabriel F. A., et al.
Published: (2025)
Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal
by: Yuan, Deheng, et al.
Published: (2025)
by: Yuan, Deheng, et al.
Published: (2025)
Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation
by: Holzmüller, David, et al.
Published: (2023)
by: Holzmüller, David, et al.
Published: (2023)
Minimax Adaptive Online Nonparametric Regression over Besov Spaces
by: Liautaud, Paul, et al.
Published: (2025)
by: Liautaud, Paul, et al.
Published: (2025)
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)
Inference for Deep Neural Network Estimators in Generalized Nonparametric Models
by: Meng, Xuran, et al.
Published: (2025)
by: Meng, Xuran, et al.
Published: (2025)
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)
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)
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)
Nonsmooth Nonparametric Regression via Fractional Laplacian Eigenmaps
by: Shi, Zhaoyang, et al.
Published: (2024)
by: Shi, Zhaoyang, et al.
Published: (2024)
Nonparametric Factor Analysis and Beyond
by: Zheng, Yujia, et al.
Published: (2025)
by: Zheng, Yujia, et al.
Published: (2025)
Breaking the Finite-Sample Barrier in Entropy Coupling
by: Asoodeh, Shahab, et al.
Published: (2026)
by: Asoodeh, Shahab, et al.
Published: (2026)
Batched Nonparametric Contextual Bandits
by: Jiang, Rong, et al.
Published: (2024)
by: Jiang, Rong, et al.
Published: (2024)
On the Pointwise Behavior of Recursive Partitioning and Its Implications for Heterogeneous Causal Effect Estimation
by: Cattaneo, Matias D., et al.
Published: (2022)
by: Cattaneo, Matias D., et al.
Published: (2022)
Nonparametric logistic regression with deep learning
by: Yara, Atsutomo, et al.
Published: (2024)
by: Yara, Atsutomo, 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)
Nonparametric Instrumental Variable Regression with Observed Covariates
by: Shen, Zikai, et al.
Published: (2025)
by: Shen, Zikai, et al.
Published: (2025)
Online Quantile Regression for Nonparametric Additive Models
by: Zhan, Haoran
Published: (2026)
by: Zhan, Haoran
Published: (2026)
Optimal Demixing of Nonparametric Densities
by: Fan, Jianqing, et al.
Published: (2026)
by: Fan, Jianqing, et al.
Published: (2026)
High-Probability Minimax Adaptive Estimation in Besov Spaces via Online-to-Batch
by: Liautaud, Paul, et al.
Published: (2026)
by: Liautaud, Paul, et al.
Published: (2026)
Minimax-optimal and Locally-adaptive Online Nonparametric Regression
by: Liautaud, Paul, et al.
Published: (2024)
by: Liautaud, Paul, et al.
Published: (2024)
Improving Minimax Estimation Rates for Contaminated Mixture of Multinomial Logistic Experts via Expert Heterogeneity
by: Yan, Fanqi, et al.
Published: (2026)
by: Yan, Fanqi, et al.
Published: (2026)
A Generative Approach to Quasi-Random Sampling from Copulas via Space-Filling Designs
by: Wang, Sumin, et al.
Published: (2024)
by: Wang, Sumin, et al.
Published: (2024)
Data-Efficient Non-Gaussian Semi-Nonparametric Density Estimation for Nonlinear Dynamical Systems
by: Liao, Aaron R., et al.
Published: (2026)
by: Liao, Aaron R., et al.
Published: (2026)
Posterior Contraction Rates for Sparse Kolmogorov-Arnold Networks in Anisotropic Besov Spaces
by: Oh, Jeunghun, et al.
Published: (2026)
by: Oh, Jeunghun, et al.
Published: (2026)
Nested Nonparametric Instrumental Variable Regression
by: Meza, Isaac, et al.
Published: (2021)
by: Meza, Isaac, et al.
Published: (2021)
Extrapolation-Aware Nonparametric Statistical Inference
by: Pfister, Niklas, et al.
Published: (2024)
by: Pfister, Niklas, et al.
Published: (2024)
Deep Nonparametric Conditional Independence Tests for Images
by: Simnacher, Marco, et al.
Published: (2024)
by: Simnacher, Marco, et al.
Published: (2024)
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)
Transfer Learning for Nonparametric Contextual Dynamic Pricing
by: Wang, Fan, et al.
Published: (2025)
by: Wang, Fan, et al.
Published: (2025)
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)
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)
Nonparametric regression using over-parameterized shallow ReLU neural networks
by: Yang, Yunfei, et al.
Published: (2023)
by: Yang, Yunfei, et al.
Published: (2023)
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)
Nonparametric Instrumental Variable Inference with Many Weak Instruments
by: van der Laan, Lars, et al.
Published: (2025)
by: van der Laan, Lars, et al.
Published: (2025)
Offline Estimation of Controlled Markov Chains: Minimaxity and Sample Complexity
by: Banerjee, Imon, et al.
Published: (2022)
by: Banerjee, Imon, et al.
Published: (2022)
MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY Estimation
by: Tohme, Tony, et al.
Published: (2023)
by: Tohme, Tony, et al.
Published: (2023)
Nonparametric spectral density estimation using interactive mechanisms under local differential privacy
by: Butucea, Cristina, et al.
Published: (2025)
by: Butucea, Cristina, et al.
Published: (2025)
Sequential 1-bit Mean Estimation with Near-Optimal Sample Complexity
by: Lau, Ivan, et al.
Published: (2025)
by: Lau, Ivan, et al.
Published: (2025)
Automatic Debiased Machine Learning for Smooth Functionals of Nonparametric M-Estimands
by: van der Laan, Lars, et al.
Published: (2025)
by: van der Laan, Lars, et al.
Published: (2025)
Similar Items
-
Partitioning the Sample Space for a More Precise Shannon Entropy Estimation
by: Bastos, Gabriel F. A., et al.
Published: (2025) -
Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal
by: Yuan, Deheng, et al.
Published: (2025) -
Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation
by: Holzmüller, David, et al.
Published: (2023) -
Minimax Adaptive Online Nonparametric Regression over Besov Spaces
by: Liautaud, Paul, et al.
Published: (2025) -
Model-free Estimation of Latent Structure via Multiscale Nonparametric Maximum Likelihood
by: Aragam, Bryon, et al.
Published: (2024)