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1,205 records
- Anchored Reversible Jump Sequential Monte Carlo
- Multivariate LSTM Modeling for Wastewater Quality Prediction
- Gaussian Equivalence for Multi-Head Self-Attention
- Policy Learning with Weak Signals
- RoBART: Bayesian Additive Regression Trees with Tree-Specific Rotations
- Safe Meta-Policy Design with Risk Control
- Calibrating Ambiguity Set via Diagnostic Transport for Distributionally Robust Optimization
- The Geometry of Existence and Uniqueness of Maximum Likelihood Estimation in Categorical Response Models
- Anytime-valid simulation-based hypothesis testing
- Where Do Two Populations of Persistence Diagrams Differ? Calibrated Local Inference at a Fixed Budget
- Trust-Region Optimization for Smooth Potential-Interaction Energies in Wasserstein Space
- Projected Normal Models on Recursively Curved Tori
- Quadratic Weak-to-Strong Generalization in Random Feature Networks via Random Matrix Theory
- Sketched Calibration for Conformal Prediction under Covariate Shift
- The optimal information complexity of VC learning
- On the Sequentially Semiseparable Structure of SDE-Induced Kernels and Efficient Algorithms for Kernel-Based Estimation Problems
- Finite-Sample Distribution Theory and Efficient Large-Scale Inference for Online Quantile Regression
- Reading Multiple Regression from an Ellipsoid Inscribed in the Unit Hypercube
- Data Fusion for Errors-in-Variables
- Poisson empirical Bayes estimation of sums of random variables via minimum-distance methods
- Assumption-lean logistic regression with missing covariates
- A Statistical Inference Framework for PMI Estimation and SGNS Word Embeddings
- Regression models for ordinal compositional data
- Semi-Supervised Kernel Ridge Fréchet Regression
- Taylor Representations for Model-Free RL in Networked MDPs
- PKComb-BOIN12: A Pharmacokinetically Guided Bayesian Design for Dose Optimisation in Oncology Drug-Combination Trials
- A Bayesian One-Sample Test for the Mean of Functional Data
- Gradient-Free Sampling from Generative Models via Stochastic Bounded Extremum Seeking
- Efficient Mass Matrix Estimation with Gaussian Cooling
- Generalization Bounds for Flow-matching Generative Models for Intrinsically Low-dimensional Data
- A Residual Tree Gaussian Process Modeling Framework for High-Dimensional Data
- Boundary inference for the Makeham term in mortality models
- Probability flow ODEs in score-based and reflected diffusion models
- Latent Score-Based Bayesian Cramér-Rao Bound Estimation for High-Dimensional Imaging Systems
- Multi-Target Tracking of Cooperating Swarms by an Ensemble Gaussian Mixture Filter
- Polylogarithmic Sparsity of Randomly Reweighted NPMLEs for Gaussian Mixtures
- Testing and segmentation of joint and individual components in integrative multi-source factor models
- Markov chain Monte Carlo for predictively oriented posteriors
- Wasserstein Gradient Flows and Forward-Only Diffusion Are Not Enough for Multimodal Sampling
- A Monte Carlo Estimator for an Isolated Polynomial Zero via Contour Integral Representations
- A Three-Stage PCA Procedure for Sequentially Arriving High-Dimensional Data
- Minimax rates for learning spectral Barron functions by deep ReLU neural networks
- A Dynamical Theory of LoRA in Continual Learning
- Distributionally robust linear regression through the lens of adversarial training
- Multifidelity Formulations for Triangular Transport
- Discussion on "Principled type I error rate inflation in two-arm clinical trial designs with external control information borrowing" by Silvia Calderazzo, Manuel Wiesenfarth, Vivienn Weru, and Annette Kopp-Schneider
- Optimal detection of general moment changes: Simultaneous mean and covariance change detection and beyond
- CovEsts: Nonparametric Autocovariance Estimation and Analysis
- Debiased and Simultaneous Inference for Heterogeneous Factorial Effect Modifiers via Residualized Walsh-Hadamard Scores
- SPARK: A General Goodness-of-Fit Assessment via Residual Projection