Revisiting mean estimation over $\ell_p$ balls: Is the MLE optimal?
Fuente:
arXiv
Saved in:
| Main Authors: | Aolaritei, Liviu, Jordan, Michael I., Pathak, Reese, Ulichney, Annie |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Stopping Rules for Stochastic Gradient Descent via Anytime-Valid Confidence Sequences
by: Aolaritei, Liviu, et al.
Published: (2025)
by: Aolaritei, Liviu, et al.
Published: (2025)
Gaussian Width of Convex Sets via Integral Decompositions, Projections, and the Distribution of Intrinsic Volumes
by: Pathak, Reese, et al.
Published: (2026)
by: Pathak, Reese, et al.
Published: (2026)
Random pairing MLE for estimation of item parameters in Rasch model
by: Yang, Yuepeng, et al.
Published: (2024)
by: Yang, Yuepeng, et al.
Published: (2024)
Uncertainty Quantification of Spectral Estimator and MLE for Orthogonal Group Synchronization
by: Zhong, Ziliang Samuel, et al.
Published: (2024)
by: Zhong, Ziliang Samuel, et al.
Published: (2024)
Conformal Prediction under Levy-Prokhorov Distribution Shifts: Robustness to Local and Global Perturbations
by: Aolaritei, Liviu, et al.
Published: (2025)
by: Aolaritei, Liviu, et al.
Published: (2025)
Stochastic Optimization with Optimal Importance Sampling
by: Aolaritei, Liviu, et al.
Published: (2025)
by: Aolaritei, Liviu, et al.
Published: (2025)
Asymptotic mutual information in quadratic estimation problems over compact groups
by: Yang, Kaylee Y., et al.
Published: (2024)
by: Yang, Kaylee Y., et al.
Published: (2024)
Adaptive Refinement Protocols for Distributed Distribution Estimation under $\ell^p$-Losses
by: Yuan, Deheng, et al.
Published: (2024)
by: Yuan, Deheng, et al.
Published: (2024)
Wasserstein Distributionally Robust Estimation in High Dimensions: Performance Analysis and Optimal Hyperparameter Tuning
by: Aolaritei, Liviu, et al.
Published: (2022)
by: Aolaritei, Liviu, et al.
Published: (2022)
Model non-collapse: Minimax bounds for recursive discrete distribution estimation
by: Kanabar, Millen, et al.
Published: (2025)
by: Kanabar, Millen, et al.
Published: (2025)
Support Recovery and $\ell_2$-Error Bound for Sparse Regression with Quadratic Measurements via Weakly-Convex-Concave Regularization
by: Fan, Jun, et al.
Published: (2026)
by: Fan, Jun, et al.
Published: (2026)
Closed-form $\ell_r$ norm scaling with data for overparameterized linear regression and diagonal linear networks under $\ell_p$ bias
by: Zhang, Shuofeng, et al.
Published: (2025)
by: Zhang, Shuofeng, et al.
Published: (2025)
Theoretical limits of descending $\ell_0$ sparse-regression ML algorithms
by: Stojnic, Mihailo
Published: (2024)
by: Stojnic, Mihailo
Published: (2024)
Sharp mean-field analysis of permutation mixtures and permutation-invariant decisions
by: Liang, Yiguo, et al.
Published: (2025)
by: Liang, Yiguo, et al.
Published: (2025)
Testing and estimation in orthosymmetric Gaussian sequence model
by: Jia, Zeyu, et al.
Published: (2025)
by: Jia, Zeyu, et al.
Published: (2025)
An information-theoretic lower bound in time-uniform estimation
by: Duchi, John C., et al.
Published: (2024)
by: Duchi, John C., et al.
Published: (2024)
On the design-dependent suboptimality of the Lasso
by: Pathak, Reese, et al.
Published: (2024)
by: Pathak, Reese, et al.
Published: (2024)
Transfer learning for piecewise-constant mean estimation: Optimality, $\ell_1$- and $\ell_0$-penalisation
by: Wang, Fan, et al.
Published: (2023)
by: Wang, Fan, et al.
Published: (2023)
Matrix denoising: Bayes-optimal estimators via low-degree polynomials
by: Semerjian, Guilhem
Published: (2024)
by: Semerjian, Guilhem
Published: (2024)
Finite-sample expansions for the optimal error probability in asymmetric binary hypothesis testing
by: Lungu, Valentinian, et al.
Published: (2024)
by: Lungu, Valentinian, et al.
Published: (2024)
A note on MLE of covariance matrix
by: Tsai, Ming-Tien
Published: (2017)
by: Tsai, Ming-Tien
Published: (2017)
Tuning-free one-bit covariance estimation using data-driven dithering
by: Dirksen, Sjoerd, et al.
Published: (2023)
by: Dirksen, Sjoerd, et al.
Published: (2023)
Mutual Information Density of Massive MIMO Systems over Rayleigh-Product Channels
by: Zhang, Xin, et al.
Published: (2022)
by: Zhang, Xin, et al.
Published: (2022)
Differentiability and overlap concentration in optimal Bayesian inference
by: Chen, Hong-Bin, et al.
Published: (2025)
by: Chen, Hong-Bin, et al.
Published: (2025)
Fair Allocation in Dynamic Mechanism Design
by: Fallah, Alireza, et al.
Published: (2024)
by: Fallah, Alireza, et al.
Published: (2024)
Bounds on Maximal Leakage over Bayesian Networks
by: Makur, Anuran, et al.
Published: (2025)
by: Makur, Anuran, et al.
Published: (2025)
On the optimality of coin-betting for mean estimation
by: Clerico, Eugenio
Published: (2024)
by: Clerico, Eugenio
Published: (2024)
Distribution free M-estimation
by: Areces, Felipe, et al.
Published: (2025)
by: Areces, Felipe, et al.
Published: (2025)
Is model selection possible for the $\ell_p$-loss? PCO estimation for regression models
by: Lacour, Claire, et al.
Published: (2025)
by: Lacour, Claire, et al.
Published: (2025)
Minimax optimal differentially private synthetic data for smooth queries
by: Ding, Rundong, et al.
Published: (2026)
by: Ding, Rundong, et al.
Published: (2026)
Minimax optimal submatrix detection: Sharp non-asymptotic rates
by: Knight, Parker, et al.
Published: (2026)
by: Knight, Parker, et al.
Published: (2026)
On the sample complexity of parameter estimation in logistic regression with normal design
by: Hsu, Daniel, et al.
Published: (2023)
by: Hsu, Daniel, et al.
Published: (2023)
Haussdorff consistency of MLE in folded normal and Gaussian mixtures
by: Mallik, Koustav
Published: (2025)
by: Mallik, Koustav
Published: (2025)
Fundamental limits of distributed covariance matrix estimation via a conditional strong data processing inequality
by: Rahmani, Mohammad Reza, et al.
Published: (2025)
by: Rahmani, Mohammad Reza, et al.
Published: (2025)
On the existence of powerful p-values and e-values for composite hypotheses
by: Zhang, Zhenyuan, et al.
Published: (2023)
by: Zhang, Zhenyuan, et al.
Published: (2023)
Asymptotic properties of the MLE in distributional regression under random censoring
by: Kremling, Gitte, et al.
Published: (2025)
by: Kremling, Gitte, et al.
Published: (2025)
Random Modulation: Achieving Asymptotic Replica Optimality over Arbitrary Norm-Bounded and Spectrally Convergent Channel Matrices
by: Liu, Lei, et al.
Published: (2025)
by: Liu, Lei, et al.
Published: (2025)
Cumulants of multiinformation density in the case of a multivariate normal distribution
by: Marrelec, Guillaume, et al.
Published: (2019)
by: Marrelec, Guillaume, et al.
Published: (2019)
On consistency of the MLE under finite mixtures of location-scale distributions with a structural parameter
by: Liu, Guanfu, et al.
Published: (2025)
by: Liu, Guanfu, et al.
Published: (2025)
Statistical Limits for Finite-Rank Tensor Estimation
by: Rossetti, Riccardo, et al.
Published: (2025)
by: Rossetti, Riccardo, et al.
Published: (2025)
Similar Items
-
Stopping Rules for Stochastic Gradient Descent via Anytime-Valid Confidence Sequences
by: Aolaritei, Liviu, et al.
Published: (2025) -
Gaussian Width of Convex Sets via Integral Decompositions, Projections, and the Distribution of Intrinsic Volumes
by: Pathak, Reese, et al.
Published: (2026) -
Random pairing MLE for estimation of item parameters in Rasch model
by: Yang, Yuepeng, et al.
Published: (2024) -
Uncertainty Quantification of Spectral Estimator and MLE for Orthogonal Group Synchronization
by: Zhong, Ziliang Samuel, et al.
Published: (2024) -
Conformal Prediction under Levy-Prokhorov Distribution Shifts: Robustness to Local and Global Perturbations
by: Aolaritei, Liviu, et al.
Published: (2025)