Efficient Proposal-Test-Release for Minimax Optimal Estimation
Fuente:
arXiv
Saved in:
| Main Authors: | Shen, Tao, Tong, Xin T., Wang, Wanjie |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Optimal Network-Guided Covariate Selection for High-Dimensional Data Integration
by: Shen, Tao, et al.
Published: (2025)
by: Shen, Tao, et al.
Published: (2025)
Community Detection on Inhomogeneous Multilayer Networks with Extreme Sparsity
by: Shen, Tao, et al.
Published: (2026)
by: Shen, Tao, et al.
Published: (2026)
Temporal label recovery from noisy dynamical data
by: Khoo, Yuehaw, et al.
Published: (2024)
by: Khoo, Yuehaw, et al.
Published: (2024)
Minimax-Optimal Two-Sample Test with Sliced Wasserstein
by: Tran, Binh Thuan, et al.
Published: (2025)
by: Tran, Binh Thuan, et al.
Published: (2025)
Minimax Optimal Design with Spillover and Carryover Effects
by: Yu, Haoyang, et al.
Published: (2025)
by: Yu, Haoyang, et al.
Published: (2025)
Minimax Optimal Estimation of Transport-Growth Pairs in Unbalanced Optimal Transport
by: Ponnoprat, Donlapark, et al.
Published: (2026)
by: Ponnoprat, Donlapark, et al.
Published: (2026)
Uniform error bound for PCA matrix denoising
by: Tong, Xin T., et al.
Published: (2023)
by: Tong, Xin T., et al.
Published: (2023)
Inlier Recovery for Robust Registration via Gram-Matrix Overlap
by: Wu, Ruizi, et al.
Published: (2026)
by: Wu, Ruizi, et al.
Published: (2026)
Spectral Clustering on Multilayer Networks with Covariates
by: Zhao, Da, et al.
Published: (2025)
by: Zhao, Da, et al.
Published: (2025)
Minimax Optimal Robust Sparse Regression with Heavy-Tailed Designs: A Gradient-Based Approach
by: Zhou, Kaiyuan, et al.
Published: (2026)
by: Zhou, Kaiyuan, et al.
Published: (2026)
i-IF-Learn: Iterative Feature Selection and Unsupervised Learning for High-Dimensional Complex Data
by: Ma, Chen, et al.
Published: (2026)
by: Ma, Chen, et al.
Published: (2026)
Wasserstein-based Minimax Estimation of Dependence in Multivariate Regularly Varying Extremes
by: Zhang, Xuhui, et al.
Published: (2023)
by: Zhang, Xuhui, et al.
Published: (2023)
Minimax and Bayes Optimal Best-Arm Identification
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
The Empirical Mean is Minimax Optimal for Local Glivenko-Cantelli
by: Cohen, Doron, et al.
Published: (2024)
by: Cohen, Doron, et al.
Published: (2024)
SGD with Dependent Data: Optimal Estimation, Regret, and Inference
by: Shen, Yinan, et al.
Published: (2026)
by: Shen, Yinan, et al.
Published: (2026)
MOSAIC: Minimax-Optimal Sparsity-Adaptive Inference for Change Points in Dynamic Networks
by: Fan, Yingying, et al.
Published: (2025)
by: Fan, Yingying, et al.
Published: (2025)
Minimax Regret Estimation for Generalizing Heterogeneous Treatment Effects with Multisite Data
by: Zhang, Yi, et al.
Published: (2024)
by: Zhang, Yi, et al.
Published: (2024)
Minimax Rate-Optimal Inference for Individualized Quantile Treatment Effects in High-dimensional Models
by: Sun, Jiachen, et al.
Published: (2025)
by: Sun, Jiachen, et al.
Published: (2025)
Optimal Data Integration and Adaptive Sampling for Efficient Treatment Effect Estimation
by: Liu, Yen-Chun, et al.
Published: (2026)
by: Liu, Yen-Chun, et al.
Published: (2026)
Minimax and Bayes Optimal Adaptive Experimental Design for Treatment Choice
by: Kato, Masahiro
Published: (2025)
by: Kato, Masahiro
Published: (2025)
Network-Adjusted Covariates for Community Detection
by: Hu, Yaofang, et al.
Published: (2023)
by: Hu, Yaofang, et al.
Published: (2023)
Reward Maximization for Pure Exploration: Minimax Optimal Good Arm Identification for Nonparametric Multi-Armed Bandits
by: Cho, Brian, et al.
Published: (2024)
by: Cho, Brian, et al.
Published: (2024)
Minimax-Optimal Spectral Clustering with Covariance Projection for High-Dimensional Anisotropic Mixtures
by: Huang, Chengzhu, et al.
Published: (2025)
by: Huang, Chengzhu, et al.
Published: (2025)
Generalized Neyman Allocation for Locally Minimax Optimal Best-Arm Identification
by: Kato, Masahiro
Published: (2024)
by: Kato, Masahiro
Published: (2024)
Minimax-Regret Sample Selection in Randomized Experiments
by: Hu, Yuchen, et al.
Published: (2024)
by: Hu, Yuchen, et al.
Published: (2024)
Optimal Designs for Gamma Degradation Tests
by: Tung, Hung-Ping, et al.
Published: (2025)
by: Tung, Hung-Ping, et al.
Published: (2025)
Weighted Asymptotically Optimal Sequential Testing
by: Bose, Soumyabrata, et al.
Published: (2025)
by: Bose, Soumyabrata, et al.
Published: (2025)
Minimax rates for the linear-in-means model reveal an identifiability-estimability gap
by: Hayes, Alex, et al.
Published: (2024)
by: Hayes, Alex, et al.
Published: (2024)
Reevaluating Causal Estimation Methods with Data from a Product Release
by: Young, Justin, et al.
Published: (2026)
by: Young, Justin, et al.
Published: (2026)
Solving Minimax Problems with Bilinear Objectives with ADMM
by: Wilson, Bob
Published: (2026)
by: Wilson, Bob
Published: (2026)
Minimax estimation of Functional Principal Components from noisy discretized functional data
by: Belhakem, Ryad, et al.
Published: (2021)
by: Belhakem, Ryad, et al.
Published: (2021)
Bayesian Machine Learning for Estimating Optimal Dynamic Treatment Regimes with Ordinal Outcomes
by: Wang, Xinru, et al.
Published: (2025)
by: Wang, Xinru, et al.
Published: (2025)
Shape-Adaptive Conditional Calibration for Conformal Prediction via Minimax Optimization
by: Bao, Yajie, et al.
Published: (2026)
by: Bao, Yajie, et al.
Published: (2026)
Causal Estimation and Inference in Nonlinear Mendelian Randomization Studies
by: Wang, Xinpei, et al.
Published: (2024)
by: Wang, Xinpei, et al.
Published: (2024)
Minimax unbiased estimation for finite populations with bounded outcomes
by: Aronow, P. M., et al.
Published: (2026)
by: Aronow, P. M., et al.
Published: (2026)
Regularized Estimation of the Loading Matrix in Factor Models for High-Dimensional Time Series
by: Liu, Xialu, et al.
Published: (2025)
by: Liu, Xialu, et al.
Published: (2025)
Unsupervised Learning Under a General Semiparametric Clusterwise Elliptical Distribution: Efficient Estimation, Optimal Clustering, and Consistent Cluster Selection
by: Teng, Jen-Chieh, et al.
Published: (2026)
by: Teng, Jen-Chieh, et al.
Published: (2026)
Optimal item calibration in the context of the Swedish Scholastic Aptitude Test
by: Bjermo, Jonas, et al.
Published: (2024)
by: Bjermo, Jonas, et al.
Published: (2024)
Optimal Dynamic Treatment Regime Estimation in the Presence of Nonadherence
by: Spicker, Dylan, et al.
Published: (2024)
by: Spicker, Dylan, et al.
Published: (2024)
Efficient Testing Using Surrogate Information
by: Knowlton, Rebecca, et al.
Published: (2025)
by: Knowlton, Rebecca, et al.
Published: (2025)
Similar Items
-
Optimal Network-Guided Covariate Selection for High-Dimensional Data Integration
by: Shen, Tao, et al.
Published: (2025) -
Community Detection on Inhomogeneous Multilayer Networks with Extreme Sparsity
by: Shen, Tao, et al.
Published: (2026) -
Temporal label recovery from noisy dynamical data
by: Khoo, Yuehaw, et al.
Published: (2024) -
Minimax-Optimal Two-Sample Test with Sliced Wasserstein
by: Tran, Binh Thuan, et al.
Published: (2025) -
Minimax Optimal Design with Spillover and Carryover Effects
by: Yu, Haoyang, et al.
Published: (2025)