1,205 records
- Conditional Mean Independence, Global Sensitivity Analysis, and Variable Screening Using nearest neighbor Graphs
- Theoretical Guarantees for SMC-Guided Diffusion Sampling
- Statistical inference based on band-limited kernels: Rational-infinitely divisible distributions and beyond
- Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity
- High-Dimensional Variance Estimation for the Generalized Regression Estimator
- Sign Hacking with Auxiliary Variable Exploration in the Age of Big Data
- Inferring Cooperativity From Pooled Measurements
- Outcome-adapted Automatic Debiased Machine Learning
- Lancaster copulas
- Prediction Sets for Counterfactual Decisions: Coverage, Optimality, and Conformal Prediction
- Cross-Audit Projection for Model Risk Prediction
- Merging of Bayes and quasi-Bayes empirical Bayes procedures for Poisson compound decisions
- Beyond Cultural Persona Bias: Response Geometry as a Measure for Language Models and People
- Contaminated Multi-task Learning with Heterogeneity: Fundamental Limits and Optimal Algorithms
- From Spectral Methods to Sample Complexity Bounds for Fourier Neural Operators
- Distributed Prediction under Heterogeneity with Unidentifiable Parameter
- Optimal scaling of MCMC algorithms: the Hamiltonian approach
- Function-Counting Theory for Low-Dimensional Data Structures
- Characterizing and Identifying Separable Graphical Models
- Simultaneous Inference for Partially Observed Functional Time Series
- Functional Principal Component Analysis for Manifold-Indexed Data
- Payment Process Estimation in Aggregated Insurance Models
- Causal Inference for All: Marginal Estimands for Outcomes Truncated by Death
- Waiting time analysis in a finite-capacity multi-server systems with dynamic priorities, dynamically evolving customer types, and abandonment
- Testing hypotheses via orthogonalization
- Extrapolating from Regularised Solutions for Solving Ill-Conditioned Linear Systems in Machine Learning
- Factorizable Normalizing Flows for parameter-dependent density morphing
- Optimization Dynamics Imprint Semantic Specificity in Contrastive Embedding Norms
- Separation Capacity of Scattering Networks
- SGD at the Edge of Stability: Stochastic Stabilization with Large Learning Rates
- Exponential-Family Tensor Completion via Nonconvex Dual Total-Variation Regularization
- Variance Reduction for Stochastic Gradient Generalized Non-reversible Langevin Monte Carlo Algorithms
- Perspectives on Latent Factor Indeterminacy and its Implications for Data Representation
- On Modeling Cylindrical Data with a Discrete Circular Component and Its Environmental Applications
- Multivariate Varying-Coefficient BART with Graphical Horseshoe Priors
- The Quality of Lattice Sequences for Arbitrary Sample Size
- Local Fokker--Planck Geometry for Score Estimation: Heat-Ball Mean-Value Representations and Exact High-Dimensional Sampling
- Surprises in Proper Positive-Only Learning
- Focused median bias reduction
- A bootstrap approach to prediction-powered inference
- Value of Information under Imprecise Probabilities: Decision-Rule-Specific Values and Fixed-Measure Envelopes on a Credal Set
- Multiple testing
- Optimizing Experimental Design for Causal Effect Estimation with Partial Measurements
- Semiparametric Inference for Half-Trek Estimators in Linear Structural Equation Models
- An example of Ensemble Kalman Filter with resampling
- Statistically Valid Post-Training Hyperparameter Selection: From Tuning to Guarantees
- Imprecise Transition Matrices for Markov Cohort Models: Lower and Upper Expectations with a Practical Health Economic Application
- A Theory of Bootstrap Coverage Calibration for Generalized Posterior Credible Sets
- Slice Monte Carlo Integration
- Studentized Cheap Bootstrap: Achieving Higher-Order Coverage Accuracy with Low Computation