1,205 records
- Identifying Causal Effects Using a Single Proxy Variable
- Partial correlation networks of Gaussian processes
- On the Unique Recovery of Transport Maps and Vector Fields from Finite Measure-Valued Data
- The Condition-Number Principle for Prototype Clustering
- Order-Optimal Sequential 1-Bit Mean Estimation in General Tail Regimes
- Intensity Dot Product Graphs
- A Transport Geometry of Benign Overfitting
- Bathymetry Reconstruction by Bayesian Inference
- Simulation Based Inference of a Simple Neural Network Structure
- Amortized Filtering and Smoothing with Conditional Normalizing Flows
- Gaussian Approximation for Asynchronous Q-learning
- Conformal Prediction with Time-Series Data via Sequential Conformalized Density Regions
- Poisson-response Tensor-on-Tensor Regression and Applications
- Marginal Persistence and Dynamic Copula Dependence in Sovereign Rating Migration Counts: A Discrete Interval-Likelihood MAGMAR Analysis
- Hierarchical Contrastive Learning for Multimodal Data
- Sufficient conditions for proper posteriors in fully-Bayesian Functional PCA
- Generalization error bounds for two-layer neural networks with Lipschitz loss function
- NS-RGS: Newton-Schulz based Riemannian gradient method for orthogonal group synchronization
- Noisy Nonreciprocal Pairwise Comparisons: Scale Variation, Noise Calibration, and Admissible Ranking Regions
- Hypothesis Testing for Penalized Estimating Equations with Cross-Fitted Covariance Calibration
- On Data Thinning for Model Validation in Small Area Estimation
- Sharp asymptotic theory for Q-learning with LDTZ learning rate and its generalization
- Efficient estimation of relative risk, odds ratio and their logarithms for rare events
- State estimations and noise identifications with intermittent corrupted observations via Bayesian variational inference
- Identification and Inference in Nonlinear Dynamic Network Models
- Simulation and Analysis of Multifractional Stochastic Processes with R Package Rmfrac
- Random Coordinate Descent on the Wasserstein Space of Probability Measures
- Learning interacting particle systems from unlabeled data
- Denoising distances beyond the volumetric barrier
- Scenario theory for multi-criteria data-driven decision making
- Convergence of projected stochastic natural gradient variational inference for various step size and sample or batch size schedules
- Debiased Estimators in High-Dimensional Regression: A Review and Replication of Javanmard and Montanari (2014)
- Forecast collapse of transformer-based models under squared loss in financial time series
- LDDMM stochastic interpolants: an application to domain uncertainty quantification in hemodynamics
- A Unified Framework for Nonlinear Mediation Analysis of Random Objects
- Extension of coupling via the Projection of Optimal Transport
- Fast localization of anomalous patches in spatial data under dependence
- Induced replication and the assessment of models
- Persistence diagrams of random matrices via Morse theory: universality and a new spectral diagnostic
- Robust Estimation in Step-Stress Experiments under Weibull Lifetime Distributions
- Asymptotic Optimism for Tensor Regression Models with Applications to Neural Network Compression
- Complete Causal Identification from Ancestral Graphs under Selection Bias
- Kantorovich--Kernel Neural Operators: Approximation Theory, Asymptotics, and Neural Network Interpretation
- The exact amount of t-ness that the normal model can tolerate
- Biased Mean Quadrangle and Applications
- Koopman Operator Identification of Model Parameter Trajectories for Temporal Domain Generalization (KOMET)
- Static and Dynamic Approaches to Computing Barycenters of Probability Measures on Graphs
- Boosting multi-view association testing via devariation
- Parameter Estimation in Stochastic Differential Equations via Wiener Chaos Expansion and Stochastic Gradient Descent
- Residual-as-Teacher: Mitigating Bias Propagation in Student--Teacher Estimation