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1,205 records
- A Unifying Perspective on Probabilities as Model Predictions
- Estimating Hierarchically Rank Structured Covariance Matrices
- Agnostic Model-Assisted Estimation with Machine Learning for Survey Data
- Non-Adaptive 1-Bit Mean Estimation: Minimax Rates and the Sample-Interval Tradeoff
- CAST: Canonical Approximate Schur Tree for Approximate Cholesky on Graphs
- Tensor Network Moral Graph Recovery of Discrete Probability Distributions
- Recovery Theory for Projected Power Iterations in Permutation Synchronization
- Optimizer as Detector: Stochastic Gradient Descent for Latent Mixture Models
- Adaptive Conformal Inference Under Delayed Feedback: Coverage Guarantees and a Delay-to-Memory Diagnostic
- Quasi-randomization-based inference for multivariate Mann-Whitney effects under random missingness
- Beyond Worst-Case Coreset Bounds for $k$-Clustering via Determinantal Sampling
- A Likelihood-Ratio Test for Verifying Weak Stochastic Transitivity
- Cluster-Based Dimensionality Reduction by Nonparametric Distributional Screening
- Diagonal Attenuation: A Finite-Sample Correction for PCA
- Recovering linear images of sparse signals from indirect observations
- Robust conditional dimension reduction for dissimilarity data
- Minimax Lower Bound for Estimating Diffusion-based Local Intrinsic Dimension
- Goodness-of-fit testing for the Pareto type-I distribution based on a mean residual life characterization
- Bias-Corrected Subspace Intersection: Minimax-Optimal Shared Subspace Estimation in Multi-View Data
- Towards a Statistical Understanding of Mixture-of-Experts
- On tail-robust autocovariance matrix estimation for high-dimensional and potentially nonstationary time series
- Posterior Tempering Explains Variance Inflation in Linear and Generalized Linear Thompson Sampling
- A computational approach to maximum likelihood thresholds for colored Gaussian graphical models
- Momentum in large-batch training: Polyak enlarges the critical batch size, Nesterov improves data efficiency
- Copula Transformations for Data-Consistent Inversion
- Statistical Inference for Probability Barycenters and Kolmogorov Moments
- Embedded Conditional Independence Tests for Large Language Model Generated Text with an Application to German Parliament Speeches
- On the discretization of the object space in inverse problems with application to cryo-electron microscopy
- Parameterising Gaussian Graphical Models
- A normal-inverse-Wishart (NIW) Bayesian synthesizer for multivariate normal data with application to polygenic risk scores
- Learning Representations through Token Prediction: Geometry, Approximation, and Downstream Guarantees
- Sharp Restricted Isometry Thresholds for Global Minima of Rank-Restricted Matrix LASSO
- Uniform Statistical Convergence of Empirical Sinkhorn Potentials with Exponential and Polynomial Dependence on the Regularization Parameter
- Signed random Fourier features for fast density estimation with indefinite kernels
- Exact two-sided p-values in natural exponential families: coincidence, non-uniqueness, and sample-size stability
- Quantitative Target Convergence and Uniform-in-Time Propagation of Chaos for Langevin-Regularized SVGD
- The information geometry of product-reference discrete diffusion: Interaction growth complexity and optimal scheduling
- On efficiency gains via augmenting a tiny sample with a massive auxiliary sample
- Uncertainty quantification for expectation-calibrated predictions
- Why not to use the Gaussian kernel
- An Accurate and Single-Communication Federated Inference Algorithm
- Towards a mathematical theory of superposition
- Valid test for multi-arm trials with generalized linear models under covariate-adaptive randomization
- Empirical-Bayes Elastic-Net Computation for Exponential Random Graph Models
- Functional linear regression from sparse to dense designs: a pooling-ridge method and minimax optimality
- Random Invariance Testing on Quadratic Form Statistics with Application to Autocorrelation
- Generalization, memorization, and overfitting for diffusion models trained in the lazy high-dimensional regime
- Toward a Semiparametric Efficiency Theory under Equality Constraints in Nested Markov Models
- The Gold Rush in AI4Math: Where Are We Now?
- Improved Analysis for Hessian-free High-resolution Monte Carlo Sampling