Cover Image

The distribution of Ridgeless least squares interpolators

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Han, Qiyang, Xu, Xiaocong
Format:	Preprint
Published:	2023
Subjects:	Statistics Theory Information Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A leave-one-out approach to approximate message passing
by: Bao, Zhigang, et al.
Published: (2023)

Gradient descent inference in empirical risk minimization
by: Han, Qiyang, et al.
Published: (2024)

Entrywise dynamics and universality of general first order methods
by: Han, Qiyang
Published: (2024)

Thompson sampling: Precise arm-pull dynamics and adaptive inference
by: Han, Qiyang
Published: (2026)

Gaussian random projections of convex cones: approximate kinematic formulae and applications
by: Han, Qiyang, et al.
Published: (2022)

Long-time dynamics and universality of nonconvex gradient descent
by: Han, Qiyang
Published: (2025)

UCB algorithms for multi-armed bandits: Precise regret and adaptive inference
by: Han, Qiyang, et al.
Published: (2024)

Subscedastic weighted least squares estimates
by: Bryan, Jordan, et al.
Published: (2024)

Ridge interpolators in correlated factor regression models -- exact risk analysis
by: Stojnic, Mihailo
Published: (2024)

Precise analysis of ridge interpolators under heavy correlations -- a Random Duality Theory view
by: Stojnic, Mihailo
Published: (2024)

Cumulants of multiinformation density in the case of a multivariate normal distribution
by: Marrelec, Guillaume, et al.
Published: (2019)

Boosted optimal weighted least-squares
by: Haberstich, Cécile, et al.
Published: (2019)

Exact bounds for some quadratic empirical processes with applications
by: Han, Qiyang
Published: (2022)

Information-theoretic convergence of extreme values to the Gumbel distribution
by: Johnson, Oliver
Published: (2020)

On the suboptimality of linear codes for binary distributed hypothesis testing
by: Girish, Adway, et al.
Published: (2026)

Model non-collapse: Minimax bounds for recursive discrete distribution estimation
by: Kanabar, Millen, et al.
Published: (2025)

Local convergence rates of the nonparametric least squares estimator with applications to transfer learning
by: Schmidt-Hieber, Johannes, et al.
Published: (2022)

On Conditional least squares estimation for the AD(1,n) model
by: Alaya, Mohamed Ben, et al.
Published: (2024)

Sharp mean-field analysis of permutation mixtures and permutation-invariant decisions
by: Liang, Yiguo, et al.
Published: (2025)

Approximation rates for finite mixtures of location-scale models and fast least-squares estimators
by: Nguyen, Hien Duy, et al.
Published: (2025)

Prediction from compression for models with infinite memory, with applications to hidden Markov and renewal processes
by: Han, Yanjun, et al.
Published: (2024)

Kronecker-product random matrices and a matrix least squares problem
by: Fan, Zhou, et al.
Published: (2024)

Consistent least squares estimation in population-size-dependent branching processes
by: Braunsteins, Peter, et al.
Published: (2022)

The broken sample problem revisited: Proof of a conjecture by Bai-Hsing and high-dimensional extensions
by: Jiao, Simiao, et al.
Published: (2025)

Subspace Phase Retrieval
by: Xu, Mengchu, et al.
Published: (2022)

Sparse Principal Component Analysis with Energy Profile Dependent Sample Complexity
by: Xu, Mengchu, et al.
Published: (2025)

Approximate independence of permutation mixtures
by: Han, Yanjun, et al.
Published: (2024)

With random regressors, least squares inference is robust to correlated errors with unknown correlation structure
by: Zhang, Zifeng, et al.
Published: (2024)

Estimation of discrete distributions in relative entropy, and the deviations of the missing mass
by: Mourtada, Jaouad
Published: (2025)

Two-stage weighted least squares estimator of multivariate non-negative observation-driven models
by: Armillotta, Mirko
Published: (2023)

Besting Good--Turing: Optimality of Non-Parametric Maximum Likelihood for Distribution Estimation
by: Han, Yanjun, et al.
Published: (2025)

Assouad, Fano, and Le Cam with Interaction: A Unifying Lower Bound Framework and Characterization for Bandit Learnability
by: Chen, Fan, et al.
Published: (2024)

Fundamental limits of distributed covariance matrix estimation via a conditional strong data processing inequality
by: Rahmani, Mohammad Reza, et al.
Published: (2025)

Tuning-free one-bit covariance estimation using data-driven dithering
by: Dirksen, Sjoerd, et al.
Published: (2023)

Permutation Capacity Region of Adder Multiple-Access Channels
by: Lu, William, et al.
Published: (2023)

From Asymptotic to Finite-Sample Minimax Robust Hypothesis Testing
by: Gül, Gökhan
Published: (2026)

Statistical Limits for Finite-Rank Tensor Estimation
by: Rossetti, Riccardo, et al.
Published: (2025)

On the Entropy of General Mixture Distributions
by: Lee, Namyoon
Published: (2026)

A Constructive Method to Maximize Entropy under Marginal Constraints
by: Bertrand, Pierre Jean-Claude Robert
Published: (2026)

Asymptotically Minimax Robust Likelihood Ratio Test
by: Gül, Gökhan
Published: (2026)