1,205 records
- 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
- Generative Neural Networks for Sinkhorn Distributionally Robust Hypothesis Testing
- Favourable Missingness in Semi-Supervised Classification for Exponential Mixture Models
- Transporting Randomized Trial Effects to Real-World Populations via Riesz-Calibrated Optimal Transport
- Exact grid-free confidence-region computation from dependent p-value functions under arbitrary dependence
- Detection of Cognitive Diagnostic Model Misspecification using New Lancaster-Chesher Information Matrix Tests
- Sparse Additive Off-Policy Evaluation for Reinforcement Learning with Potentially Limited Number of Trajectories
- Estimating Pathway Treatment Effects in the Presence of Intermediate Events with Multi-State Data
- A general-purpose sensitivity method for multiple simultaneous parameter perturbations in stochastic reaction networks
- Optimal Variance Reduction in Randomized Experiments
- Separating Time-Varying Network Composition from Predictive Dependence under Noisy Network Measurement
- Dirichlet Process Mixtures of Trees with Gaussian Process Splits: A Bayesian Nonparametric Framework with Posterior Contraction Rate
- Spatial function-on-function quantile regression
- LABS: Extending the scope of binary segmentation via a look-ahead device
- Further Results on Controlling the False Discovery Rate in Two-Sided Gaussian Mean Testing
- Spectral partitioning for $k$-block averaging kernels of finite Markov chains
- A Data-Driven Approach to State Construction in Markov Models
- $K$-functions for point processes on complex surfaces
- A Sparse-Group Pliable Lasso
- Curvature-Calibrated Quasi-Bayesian Updating for Moment-Restricted Models
- A Bayesian Time-Varying SEIARD Model for State-Level COVID-19 Transmission and Mortality in the United States
- Fast high-dimensional mean testing via logistic regression
- A Complexity Bound for the Kent-Ganeiber-Mardia Sampler for the Bingham Distribution
- Robust Modeling of Extremes in the Presence of Inliers with Enhanced Tail Estimation
- Diffusion Models for High-Dimensional Clustered Data: Intrinsic-Dimension Adaptivity via Bayesian Classification
- Shape-Preserving Covariate Adjustment via Empirical Likelihood in Randomized Experiment