1,205 records
- Piecewise Deterministic Markov Processes for Bayesian Inference of PDE Coefficients
- Fast Rates for Nonstationary Weighted Risk Minimization
- Distribution-free two-sample testing with blurred total variation distance
- Wedge Sampling: Efficient Tensor Completion with Nearly-Linear Sample Complexity
- Diffusion Model's Generalization Can Be Characterized by Inductive Biases toward a Data-Dependent Ridge Manifold
- Robustness Verification of Polynomial Neural Networks
- Accurate and Efficient Approximation of the Null Distribution of Rao's Spacing Test
- Unit Shiha Distribution and its Applications to Engineering and Medical Data
- Performative Learning Theory
- Bayesian Methods for the Navier-Stokes Equations
- Unified Inference Framework for Single and Multi-Player Performative Prediction: Method and Asymptotic Optimality
- Improved Analysis of the Accelerated Noisy Power Method with Applications to Decentralized PCA
- Byzantine Machine Learning: MultiKrum and an optimal notion of robustness
- Privacy utility trade offs for parameter estimation in degree heterogeneous higher order networks
- Statistical Guarantees for Reasoning Probes on Looped Boolean Circuits
- Data-Driven Uniform Inference for General Continuous Treatment Models via Minimum-Variance Weighting
- Learning Sequential Decisions from Multiple Sources via Group-Robust Markov Decision Processes
- Exchangeable random permutations with an application to Bayesian graph matching
- Training-free score-based diffusion for parameter-dependent stochastic dynamical systems
- Posterior Uncertainty for Targeted Parameters in Bayesian Bootstrap Procedures
- Effect-Wise Inference for Smoothing Spline ANOVA on Tensor-Product Sobolev Space
- Plug-In Classification of Drift Functions in Diffusion Processes Using Neural Networks
- Shiha Distribution: Statistical Properties and Applications to Reliability Engineering and Environmental Data
- Simultaneous Estimation of Seabed and Its Roughness With Longitudinal Waves
- A Fractional M/M/1 Queue Governed by Stretched Non-Local Time Operators
- Topological Residual Asymmetry for Bivariate Causal Direction
- Persistent-Transient Policy Evaluation for Markov Chains via Minimal Peripheral Quotients
- A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences
- A categorical account of the Metropolis-Hastings algorithm
- Graph Attention Network for Node Regression on Random Geometric Graphs with Erdős--Rényi contamination
- On the calibration of survival models with competing risks
- Causal Inference in Biomedical Imaging via Functional Linear Structural Equation Models
- Effective Sample Size for Functional Spatial Data
- Latent-IMH: Efficient Bayesian Inference for Inverse Problems with Approximate Operators
- High-dimensional learning dynamics of multi-pass Stochastic Gradient Descent in multi-index models
- Convergence of Muon with Newton-Schulz
- Direct Doubly Robust Estimation of Conditional Quantile Contrasts
- On randomized step sizes in Metropolis-Hastings algorithms
- Zeroth-order parallel sampling
- Revisiting Incremental Stochastic Majorization-Minimization Algorithms with Applications to Mixture of Experts
- Deep Neural Networks as Iterated Function Systems and a Generalization Bound
- The Blown Lead Paradox: A Pathwise Calibration Benchmark for Win Probability Forecasts
- Mixture-Weighted Ensemble Kalman Filter with Quasi-Monte Carlo Transport
- Asymptotic Distribution of Robust Effect Size Index
- Error Analysis of Bayesian Inverse Problems with Generative Priors
- Spherical Spatial Autoregressive Model for Spherically Embedded Spatial Data
- Efficient Learning of Stationary Diffusions with Stein-type Discrepancies
- Optimal Design under Interference, Homophily, and Robustness Trade-offs
- Algebraic Statistics in OSCAR
- Estimating conditional Mann-Whitney effects using pseudo-observation-based regression