1,205 records
- Theoretical Study on the Evidential Learning-based Variational Autoencoder
- Online Generalized Sparse Regression: How Does Overparametrization Help?
- Toward the Optimal Regret-Instability Trade-off in Multi-Armed Bandits
- Sobolev Regularized Score Difference Estimation in Diffusion Models
- A Self-Exciting Model of Eddy Formation at Submesoscale
- Diagonal Multi-omics Integration of Heterogeneous Datasets
- Randomized quasi-Monte Carlo integration
- Policy Optimization and Statistical Inference for Online Contextual Matrix Games
- Expressivity In Multimodal Contrastive Learning
- A Primer on Digital Health N-of-1 Studies and Single-Case Designs
- On Stopping Rules and Spatial Adaptation for CART
- Quantile-stratified sampling for multivariate normal simulations and other multivariate distributions
- A Unified Geometric Framework for Developmental Analysis of Spatial Transcriptomic Data
- Semi-supervised Concordance Learning for Optimal Individual Treatment Regimes
- Change Point Detection and Localization in High-Dimensional Time Series
- Bayesian Inference Procedures for A/B Testing: An Overview
- Huber-Wasserstein barycenters for robust distribution-valued data
- Sinkhorn Linearization and the Spectral Proxy: Unifying the Statistical and Algorithmic Theory of Feature-Parameterized Inverse Optimal Transport via a Single Spectral Sandwich
- Weighted cumulative past inaccuracy and Kullback-Leibler divergence based on extropy: properties, estimation, and applications
- Theoretical Properties of Covariate-Adaptive Randomization with a Diverging Number of Covariates
- Detection of Structural Distortions in Functional Time Series
- Efficient Response-Adaptive Randomization for Multi-arm Trials with Prioritized Composite Endpoints
- SSPO: Structure-Aware Similarity-Weighted Preference Optimization for Neural Combinatorial Optimization
- Duality and Error for Predictively Oriented Inference
- Graphical Models for Multivariate Count Data
- Semiparametric efficient estimation of the Cox regression coefficient when there can be ties
- Estimating the perturbed utility route choice model with trip-level data
- When Unpaired Sets Support Shared-Corruption Calibration: Moment Geometry and Two-Sample Precision
- Distribution of hitting times for dissipative random dynamical systems on $\mathbb{R}^d$, with application to stochastic gradient descent
- Sparse Variable Sharpening in High-Dimensional Kernel Density Estimation
- Logarithmic-Free Moment and Generalization Bounds for Uniformly Stable Algorithms
- Statistical analysis of block structured latent variable models
- A Plasmode Benchmark Can Refute but Cannot Certify: Projection and Regularity in Causal-Inference Simulation
- Population-Level Generative Modeling for Ranking Data
- Multi-kernel spectral clustering: Entrywise eigenvector perturbation bounds and exact recovery
- A Least-Squares Approach to Sample-Based Prior Elicitation
- Sparse departures from independence in two-way tables: a heteroscedasticity profile and detection boundary, an adaptive higher-criticism gate, and an assumption-lean exact anchor
- Bridging Balancing Weights and Augmentation in Covariate-adjusted Analyses with Time-to-Event Endpoints: Theory and Practical Recommendations
- Mixture of Geodesic Factor Analyzers on Riemannian Homogeneous Spaces
- Stochastic gradient descent with discontinuity across a manifold
- Stochastic Dynamics on Persistence Diagram Space via Reinforcement Learning
- Optimal Rates for Learning with Monotone Adversaries
- Scalable estimation of VARMA models
- Bayesian Distilled Clustering for High-Dimensional Mixture Models
- Constructing Large Orthogonal Minimally Aliased Response Surface Designs Through Enumeration and Combination of Weighing Designs
- Nonparametric Goodness-of-fit Testing under Covariate Shift
- Risk-Aware Quantile Learning for Personalized Dynamic Treatment Regimes
- Confidence Horizons
- Robust Low-Tubal-Rank Tensor Completion under Cross-Concentrated Sampling
- Diffeomorphic Markov Chain Monte Carlo: fast mixing for heavy-tailed distributions