Saved in:
| Main Authors: | Kim, Ilmun, Wasserman, Larry, Balakrishnan, Sivaraman, Neykov, Matey |
|---|---|
| 格式: | Preprint |
| 出版: |
2024
|
| 主题: | |
| 在线阅读: | https://arxiv.org/abs/2402.18921 |
| 标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
The Fundamental Limits of Structure-Agnostic Functional Estimation
由: Balakrishnan, Sivaraman, et al.
出版: (2023)
由: Balakrishnan, Sivaraman, et al.
出版: (2023)
Statistical Inference for Optimal Transport Maps: Recent Advances and Perspectives
由: Balakrishnan, Sivaraman, et al.
出版: (2025)
由: Balakrishnan, Sivaraman, et al.
出版: (2025)
Dimension-agnostic inference using cross U-statistics
由: Kim, Ilmun, et al.
出版: (2020)
由: Kim, Ilmun, et al.
出版: (2020)
Double Cross-fit Doubly Robust Estimators: Beyond Series Regression
由: McClean, Alec, et al.
出版: (2024)
由: McClean, Alec, et al.
出版: (2024)
Polynomial-Time Near-Optimal Estimation over Certain Type-2 Convex Bodies
由: Neykov, Matey
出版: (2025)
由: Neykov, Matey
出版: (2025)
Testing Random Effects for Binomial Data
由: Kania, Lucas, et al.
出版: (2025)
由: Kania, Lucas, et al.
出版: (2025)
Stability Bounds for Smooth Optimal Transport Maps and their Statistical Implications
由: Balakrishnan, Sivaraman, et al.
出版: (2025)
由: Balakrishnan, Sivaraman, et al.
出版: (2025)
Testing Imprecise Hypotheses
由: Kania, Lucas, et al.
出版: (2025)
由: Kania, Lucas, et al.
出版: (2025)
Locally minimax optimal confidence sets for the best model
由: Kim, Ilmun, et al.
出版: (2025)
由: Kim, Ilmun, et al.
出版: (2025)
Causal Effect Estimation after Propensity Score Trimming with Continuous Treatments
由: Branson, Zach, et al.
出版: (2023)
由: Branson, Zach, et al.
出版: (2023)
Robust density estimation over star-shaped density classes
由: Liu, Xiaolong, et al.
出版: (2025)
由: Liu, Xiaolong, et al.
出版: (2025)
A Permutation-free Kernel Two-Sample Test
由: Shekhar, Shubhanshu, et al.
出版: (2022)
由: Shekhar, Shubhanshu, et al.
出版: (2022)
Differentially Private Permutation Tests: Applications to Kernel Methods
由: Kim, Ilmun, et al.
出版: (2023)
由: Kim, Ilmun, et al.
出版: (2023)
Statistical Properties of Rectified Flow
由: Mena, Gonzalo, et al.
出版: (2025)
由: Mena, Gonzalo, et al.
出版: (2025)
Disentangled Feature Importance
由: Du, Jin-Hong, et al.
出版: (2025)
由: Du, Jin-Hong, et al.
出版: (2025)
Stochastic interventions, sensitivity analysis, and optimal transport
由: Levis, Alexander W., et al.
出版: (2024)
由: Levis, Alexander W., et al.
出版: (2024)
Plugin Estimation of Smooth Optimal Transport Maps
由: Manole, Tudor, et al.
出版: (2021)
由: Manole, Tudor, et al.
出版: (2021)
Universal Inference Meets Random Projections: A Scalable Test for Log-concavity
由: Dunn, Robin, et al.
出版: (2021)
由: Dunn, Robin, et al.
出版: (2021)
On Nonasymptotic Confidence Intervals for Treatment Effects in Randomized Experiments
由: Sandoval, Ricardo J., et al.
出版: (2026)
由: Sandoval, Ricardo J., et al.
出版: (2026)
Fast Near-Optimal Estimation over Symmetric Norm Balls
由: Neykov, Matey
出版: (2026)
由: Neykov, Matey
出版: (2026)
The Projected Covariance Measure for assumption-lean variable significance testing
由: Lundborg, Anton Rask, et al.
出版: (2022)
由: Lundborg, Anton Rask, et al.
出版: (2022)
Semi-Supervised Quantile Estimation: Robust and Efficient Inference in High Dimensional Settings
由: Chakrabortty, Abhishek, et al.
出版: (2022)
由: Chakrabortty, Abhishek, et al.
出版: (2022)
A Semi-Supervised Kernel Two-Sample Test
由: Lee, Gyumin, et al.
出版: (2026)
由: Lee, Gyumin, et al.
出版: (2026)
A General Framework for Treatment Effect Estimation in Semi-Supervised and High Dimensional Settings
由: Chakrabortty, Abhishek, et al.
出版: (2022)
由: Chakrabortty, Abhishek, et al.
出版: (2022)
Double Robust Semi-Supervised Inference for the Mean: Selection Bias under MAR Labeling with Decaying Overlap
由: Zhang, Yuqian, et al.
出版: (2021)
由: Zhang, Yuqian, et al.
出版: (2021)
High-Dimensional Statistics: Reflections on Progress and Open Problems
由: Maleki, Arian, et al.
出版: (2026)
由: Maleki, Arian, et al.
出版: (2026)
On the Equivalence between Neyman Orthogonality and Pathwise Differentiability
由: Chen, Yuxi, et al.
出版: (2026)
由: Chen, Yuxi, et al.
出版: (2026)
Semi-Supervised Treatment Effect Estimation with Unlabeled Covariates for Prediction-Powered Causal Inference
由: Kato, Masahiro
出版: (2025)
由: Kato, Masahiro
出版: (2025)
Causal Geodesy: Counterfactual Estimation Along the Path Between Correlation and Causation
由: Schindl, Kyle, et al.
出版: (2025)
由: Schindl, Kyle, et al.
出版: (2025)
Information theoretic limits of robust sub-Gaussian mean estimation under star-shaped constraints
由: Prasadan, Akshay, et al.
出版: (2024)
由: Prasadan, Akshay, et al.
出版: (2024)
Characterizing the minimax rate of nonparametric regression under bounded star-shaped constraints
由: Prasadan, Akshay, et al.
出版: (2024)
由: Prasadan, Akshay, et al.
出版: (2024)
Some facts about the optimality of the LSE in the Gaussian sequence model with convex constraint
由: Prasadan, Akshay, et al.
出版: (2024)
由: Prasadan, Akshay, et al.
出版: (2024)
Nonparametric Exponential Family Regression Under Star-Shaped Constraints
由: Yi, Guanghong, et al.
出版: (2025)
由: Yi, Guanghong, et al.
出版: (2025)
Robust Signal Detection with Quadratically Convex Orthosymmetric Constraints
由: Li, Yikun, et al.
出版: (2023)
由: Li, Yikun, et al.
出版: (2023)
Distributional Discontinuity Design
由: Schindl, Kyle, et al.
出版: (2026)
由: Schindl, Kyle, et al.
出版: (2026)
Efficient Robust Constrained Signal Detection via Kolmogorov Width Approximations
由: Li, Yikun, et al.
出版: (2026)
由: Li, Yikun, et al.
出版: (2026)
Causal Inference with High-dimensional Discrete Covariates
由: Zeng, Zhenghao, et al.
出版: (2024)
由: Zeng, Zhenghao, et al.
出版: (2024)
Network Learning with Semi-relaxed Gromov-Wasserstein
由: Dufour, Charles, et al.
出版: (2026)
由: Dufour, Charles, et al.
出版: (2026)
Semi-parametric inference based on adaptively collected data
由: Lin, Licong, et al.
出版: (2023)
由: Lin, Licong, et al.
出版: (2023)
When can weak latent factors be statistically inferred?
由: Fan, Jianqing, et al.
出版: (2024)
由: Fan, Jianqing, et al.
出版: (2024)
相似书籍
-
The Fundamental Limits of Structure-Agnostic Functional Estimation
由: Balakrishnan, Sivaraman, et al.
出版: (2023) -
Statistical Inference for Optimal Transport Maps: Recent Advances and Perspectives
由: Balakrishnan, Sivaraman, et al.
出版: (2025) -
Dimension-agnostic inference using cross U-statistics
由: Kim, Ilmun, et al.
出版: (2020) -
Double Cross-fit Doubly Robust Estimators: Beyond Series Regression
由: McClean, Alec, et al.
出版: (2024) -
Polynomial-Time Near-Optimal Estimation over Certain Type-2 Convex Bodies
由: Neykov, Matey
出版: (2025)