:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Shi, Kaining, Wang, Qiaosen, Ma, Cong
Format:	Preprint
Published:	2026
Subjects:	Statistics Theory Machine Learning
Online Access:	https://arxiv.org/abs/2605.10774
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adaptive Confidence Intervals in Efron's Gaussian Two-Groups Model
by: Wang, Qiaosen, et al.
Published: (2026)

Off-policy estimation with adaptively collected data: the power of online learning
by: Lee, Jeonghwan, et al.
Published: (2024)

Sample efficient inductive matrix completion with noise and inexact side information
by: Yang, Yuepeng, et al.
Published: (2026)

Is Algorithmic Stability Testable? A Unified Framework under Computational Constraints
by: Luo, Yuetian, et al.
Published: (2024)

Breaking the Finite-Sample Barrier in Entropy Coupling
by: Asoodeh, Shahab, et al.
Published: (2026)

Revenue Maximization Under Sequential Price Competition Via The Estimation Of s-Concave Demand Functions
by: Bracale, Daniele, et al.
Published: (2025)

Estimating the Spectral Moments of the Kernel Integral Operator from Finite Sample Matrices
by: Chun, Chanwoo, et al.
Published: (2024)

Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices
by: Yang, Yuepeng, 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)

Batched Nonparametric Contextual Bandits
by: Jiang, Rong, et al.
Published: (2024)

On the design-dependent suboptimality of the Lasso
by: Pathak, Reese, et al.
Published: (2024)

Computational-Statistical Trade-off in Kernel Two-Sample Testing with Random Fourier Features
by: Choi, Ikjun, et al.
Published: (2024)

Multi-modal contrastive learning adapts to intrinsic dimensions of shared latent variables
by: Gui, Yu, et al.
Published: (2025)

Finite-Sample Inference for Sparsely Permuted Linear Regression
by: Ota, Hirofumi, et al.
Published: (2026)

Finite-Sample Wasserstein Error Bounds and Concentration Inequalities for Nonlinear Stochastic Approximation
by: Kong, Seo Taek, et al.
Published: (2026)

Finite Sample Confidence Regions for Linear Regression Parameters Using Arbitrary Predictors
by: Guille-Escuret, Charles, et al.
Published: (2024)

Random pairing MLE for estimation of item parameters in Rasch model
by: Yang, Yuepeng, et al.
Published: (2024)

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean-Field Games
by: Ocello, Antonio, et al.
Published: (2025)

Sample Complexity of Offline Distributionally Robust Linear Markov Decision Processes
by: Wang, He, et al.
Published: (2024)

Learning bounds for doubly-robust covariate shift adaptation
by: Lee, Jeonghwan, et al.
Published: (2025)

Riemannian Proximal Sampler for High-accuracy Sampling on Manifolds
by: Guan, Yunrui, et al.
Published: (2025)

Finite-Sample Identification of Linear Regression Models with Residual-Permuted Sums
by: Szentpéteri, Szabolcs, et al.
Published: (2024)

Finite Sample Analysis of Distribution-Free Confidence Ellipsoids for Linear Regression
by: Szentpéteri, Szabolcs, et al.
Published: (2024)

Top-$K$ ranking with a monotone adversary
by: Yang, Yuepeng, et al.
Published: (2024)

Nuisance Function Tuning and Sample Splitting for Optimally Estimating a Doubly Robust Functional
by: McGrath, Sean, et al.
Published: (2022)

Adaptive Off-Policy Inference for M-Estimators Under Model Misspecification
by: Leiner, James, et al.
Published: (2025)

Stability and Accuracy Trade-offs in Statistical Estimation
by: Chakraborty, Abhinav, et al.
Published: (2026)

Off-the-grid learning of mixtures from a continuous dictionary
by: Butucea, Cristina, et al.
Published: (2022)

Attainability of Two-Point Testing Rates for Finite-Sample Location Estimation
by: Compton, Spencer, et al.
Published: (2025)

Choosing the Better Bandit Algorithm under Data Sharing: When Do A/B Experiments Work?
by: Li, Shuangning, et al.
Published: (2025)

Off-the-grid prediction and testing for linear combination of translated features
by: Butucea, Cristina, et al.
Published: (2022)

Estimating the Number of Components in Finite Mixture Models via Variational Approximation
by: Wang, Chenyang, et al.
Published: (2024)

Sampling from the Mean-Field Stationary Distribution
by: Kook, Yunbum, et al.
Published: (2024)

Finite-Particle Rates for Regularized Stein Variational Gradient Descent
by: He, Ye, et al.
Published: (2026)

Finite-sample performance of the maximum likelihood estimator in logistic regression
by: Chardon, Hugo, et al.
Published: (2024)

When Does Model Collapse Occur in Structured Interactive Learning?
by: Wu, Yuchen, et al.
Published: (2026)

Statistical-Computational Trade-offs in Learning Multi-Index Models via Harmonic Analysis
by: Latourelle-Vigeant, Hugo, et al.
Published: (2026)

A Generative Approach to Quasi-Random Sampling from Copulas via Space-Filling Designs
by: Wang, Sumin, et al.
Published: (2024)

The Sample Complexity of Multicalibration
by: Collina, Natalie, et al.
Published: (2026)

Sampling and Integration of Logconcave Functions by Algorithmic Diffusion
by: Kook, Yunbum, et al.
Published: (2024)