1,205 records
- Method of Moments Estimation of High-Dimensional Covariance Using a Parametric Model
- Wasserstein mixing time of the unadjusted Langevin algorithm
- Computational and Statistical Guarantees of the \textit{c}-Rectified flow
- Interaction Is Not Necessary for Order-Optimal 1-Bit Mean Estimation
- DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing
- A Hyperfinite Framework for Score-Based Generative Modeling
- Calibrated Bayesian Inference for Stochastic Intervention Effects
- Statistical inference of a competing risks model based on improved adaptive type-II progressive censored data under Gompertz lifetime distribution
- Random Inverse Problems with Structural and Probabilistic Ambiguities
- Augmented Inverse Hybrid Weighting: Robust Inference under Deterministic and Random Distribution Shifts
- Distance Profile Embedding for Independence and Conditional Independence Testing of Random Objects
- Simple-regret rates and minimax optimality of fixed-prior expected improvement in Matérn and squared-exponential RKHSs
- Projection, Memory, and the Validity of Scalar Early-Warning Signals: A Schur--Volterra Theory with an AMOC Application
- A Mathematical Framework for Topological Causal Data Analysis
- Non-partitioned e-detectors for nonparametric sequential change detection
- Origins and mitigation of double descent in reduced order modeling
- Chaos Is a LADDER: Domain Generalization Beyond Invariance via Reweighting
- An association measure for mixed-type variables
- Uniform Convergence of Generalized Conditional Fréchet Means with Applications to Weighted Fréchet Aggregation and Exceedance Set Estimation
- Feature Bagging Provides Stability
- Expected Survival-Time Bounds for Robust Optimization Over Time under Isotropic Gaussian Dynamics
- Generalised Robust Bayes for Joint Inference of Model and Contamination
- Retrospective Orthogonal Design: Response-Surface Reconstruction from Observational Data
- Minimax Lower Bounds of Kernel Discrepancy Estimation: MMD, HSIC, KSD
- Local Fréchet Regression with Riemannian Predictors
- Memory operator ensembles indicate proximity to criticality in simulated AMOC transitions
- Diffusion Bootstrap for High-Dimensional Linear Models
- An MTP$_2$ property for conditional distributions
- Optimum Multiple Sampling Plan Based on the Process Capability Index $C_{py}$ Under Type-II Hybrid Censoring
- Learning switched non-linear dynamical systems from a single trajectory
- Monte Carlo testing: non-asymptotic guarantees without joint exchangeability
- Beyond ICA: Identifiability by Symmetry Breaking
- Learning Asymptotics with Convergence-Rate Guarantees using Linear Least Squares
- Theoretical Properties of Multivariate Random Forest in Feature Selection and its Application to Facial Morphology-Gene Detection
- Estimating dynamic models by matching random features
- Convergence analysis of a family of Zermelo-type iterations for the Bradley--Terry model
- A Consistent Feature Screening Approach for Tensor Responses with Applications to Genome-Wide Facial Shape Association
- Scaling Results for Piecewise Deterministic Monte Carlo : A Survey
- The V-fold jackknife for semiparametric inference: variance estimation, confidence intervals, and simultaneous confidence bands
- Equilibrium Causal Digital Twins: Validation, Transport, and Identification Limits
- Mens: Nonlinear shrinkage estimation in nonparanormal models for financial applications
- Statistical Inference for Rank Allocation in Low-Rank Adaptation
- Restricted nonlinear shrinkage of high-dimensional residual covariance matrices in multivariate regressions
- Local permutation tests for conditional independence: an adaptive binning perspective
- The Tractability Landscape of Sampling with Inexact Scores
- Morillas-type transformations of copulas and stable tail dependence functions
- Fundamental limits of distributed multiclass classification from simple binary decisions
- A Bayesian Framework for Built-in Input Dimension Reduction for Gaussian Process Modeling
- RELTA-SGLD: Relative-Growth Localized Taming for Nonconvex Stochastic-Gradient Langevin Learning
- Calibrating Semantic Uncertainty from Observable Language-Model Probabilities