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1,205 records
- 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
- Wasserstein Contraction of Coordinate Ascent Variational Inference
- Leave a Window Out: Modifying the Jackknife for Predictive Inference in Time Series
- Improved Guarantees for Heterogeneous Treatment-Effect Estimation via Matrix Completion
- M-estimation with e-statistics
- Diagnosing the conditional-mean barrier in scientific machine-learning surrogates
- Identification and Inference for Structural Accelerated Failure Time Models via Instrument Interactions
- Bridging Maximum Likelihood and Optimal Transport for Efficient Inference and Model Selection in Stochastic Block Models
- Dynamics of Stochastic Momentum with Sparse Updates in High Dimensions
- Target-Oriented Statistical Compression: Sufficiency, Reverse Martingales, and Sequential Monitoring
- Marginal likelihoods for finite-support Huber contamination
- Estimation and Inference for Win Measures with Multiple Ordinal Endpoints Subject to Missingness
- Triangular-Reference Schrödinger Bridges for Time Series Generation
- Learning manifold diffusion semigroups from graph transition matrices
- PAC Learning with Bandit Feedback: Sharp Sample Complexity in the Realizable Setting
- High-Dimensional Robust Change-Point Detection via Angular Kernel Statistics
- Weighted NPMLE for the Marginal Mean of Recurrent Events with a Competing Terminal Event
- Distributional Conformal Prediction for Markov Processes
- Nyström Kernel Stein Discrepancy Tests
- Conformity-Based Bayesian Projective Prediction
- Operationalizing Individual Fairness via Gradient Descent and Bradley-Terry Models
- Generalized Stochastic Approximation of the Log-Likelihood Ratio for Robust Sequential Change-Point Detection
- Asymmetric Scaling Laws from Sparse Features
- Move on Muon : A Hamiltonian probability gradient flow perspective of Muon optimizer
- On the Stability of Spherical Hellinger-Kantorovich Flows and Their Implications for Differential Privacy
- Convergence and non-asymptotic error analysis for kinetic Langevin samplers using the exact harmonic Langevin integrator