1,205 records
- Multi-Armed Bandits with Arriving Arms: Sequential Screening, Dynamic Regret, and Sublinear Guarantees
- Data augmented bootstrap: Unifying confidence interval construction by approximate invariance
- Convergence Rates for Neural-Network Estimation with Current-Status Data
- Nonparametric undirected graphical model selection using diffusion models
- Bayesian Global Fréchet Regression via Weak Conditional Expectations
- Empirical Transfer Operators and Finite-Sample Change Detection for Noisy Expanding Interval Maps
- The Effect of Training Task Diversity on In-Context Learning through the Lens of Low-Dimensional Subspaces
- Stability beyond Bounded Differences: Sharp Generalization Bounds under Finite $L_p$ Moments
- When can a posterior predictive check identify the learning rate? Exact degeneracy in Gaussian models and implications for Generalised Bayesian Inerence
- Principal Component Analysis for Multivariate Extremes
- Community Detection on a Randomly Growing Network
- Transfer learning for causal forest
- MediEncoder: Nonlinear Representation Learning for High-Dimensional Causal Mediation Analysis
- Wasserstein Exponential Smoothing for Distributional Time Series Forecasting
- Designing Zero-Mean Feature Functions for Multimodal Distributions
- Effective Dimensionality as an Operator Invariant for Physics-Preserving Constraint Adaptation in Physics-Informed Neural Networks
- Two-Sample Hypothesis Testing for Subspace Equality in Network Data
- Robust Prediction Variance Estimation for Gaussian Process Regression Under Covariance Smoothness Misspecification
- Powerful Multivariate Sensitivity Analysis via Sample Splitting in an Observational Study of the Effects of Poverty on Cardiovascular Disease Risk Factors
- Beyond First-order Asymptotics in Sequential Mean Testing
- Bayesian learning for the stochastic shortest path problem
- Deterministic Envelopes for Tamed SGLD: Decoupling Stochastic Gradient Noise and Localizing Taming
- Delayed acceptance sampling with Hamiltonian proposal subchains for random field materials inference
- A Fast Screening Approach for High-dimensional Outcomes and High-dimensional Predictors
- Modeling Discrete Data with High-Order Vector Potts Models
- A Robust Optimization Approach to Sparse Principal Component Analysis
- Projection Diagnostics for Directional Asymmetry and Tail-Ratio Departure in Multivariate Data
- Finite-Iteration Local Dynamics and Warm Starts for Alternating Power Iteration in Spiked Tensor PCA
- Return-to-Baseline Testing via Empirically Calibrated e-processes
- Testing for Single-Population Ancestry in the Admixture Model
- Convex Distance Operator Transport: A Convex and Geometry-Preserving Formulation
- Inverting Poisson-Laguerre tessellations
- Theoretical Analysis of Engression and Reverse Markov Engression
- Variation Spaces for Encoder--Decoder Neural Operators: Approximation and Generalization
- Taming the Loss Landscape of PINNs with Noisy Feynman-Kac Supervision: Operator Preconditioning and Non-Asymptotic Error Bounds
- Bayesian Inference of Nonlinear Malaria Dynamics in Ghana via an Ensemble Markov Chain Monte Carlo Sampler
- Hybrid Probabilistic Forecasting of Under-Five Malaria Admissions in Ghana: A Gaussian Process Regression with Holt-Winters Smoothing
- Change-Point Detection for Object-valued Time Series
- Another Look at Bandwidth-free Inference: a Sample Splitting Approach
- Hypothesis Testing for a Functional Parameter via Self-normalization
- Approximation and learning of anisotropic and mixed smooth functions by deep ReLU neural networks
- Modeling Covariate Transition for Efficient Estimation of Longitudinal Treatment Effects in Randomized Experiments
- Interpreting FCDNNs via RG on Exponential Family
- Is Zero-Shot Super-Resolution Possible in Operator Learning?
- Weighted Conformal Clustering
- Active learning strategy for excursion-set confidence regions of functional simulator outputs
- Experimentation for Different Scheduling Policies on Queues: Mixed Differences-in-Q Estimators Based on Little's Law
- Eigen-Spike Emergence and Quadratic Equivalents for Conjugate Kernels on Nonlinearly Separable Data
- Identification-Robust Testing in Endogenous Functional Linear Regression with Weak or Irrelevant Auxiliary Variables
- Diffusion Models Are Statistically Optimal for Learning Low-Dimensional Multi-Modal Distributions