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1,205 records
- 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
- Deviance-style normalization for jointly overdispersed counts
- Bayesian Variable Selection in Generalized Linear Models
- Semiparametric Efficiency Theory as Differential Calculus on a Space of Probability Distributions
- Gaussian Process Differential Ensembles for Joint Inference on Curves, Derivatives, and Integrals
- Sublinearly Structured Deep Neural Networks Achieve Feature Learning Consistency for Compositional Functions
- Regime-Switching Volterra Operators: Modal Stability and Quenched Amplification
- Diffusion Models Adapt to Low-Dimensional Structure Under Flexible Coefficient Choices
- A Test for Treatment Heterogeneity under a Distributional Difference-in-Difference Framework
- An Optimal Transportation Approach for Improved Confidence Intervals
- Convergence Analysis of Nyström Subsampling in Covariate Shift Adaptation for Misspecified case
- When Kernel Ridge Regression Meets the Hölder-Zygmund Class: Minimax Optimality and Failure of Properness
- Establishing an $Ω(\sqrt{d})$ complexity lower bound for PDMP samplers and how to break it: a sub-$\sqrt{d}$ algorithm for Gaussian-tailed targets
- Set Membership Estimation for Stochastic Linear Contextual Bandits
- Betting on Moments: Legendre Jumper Martingales for Online Exchangeability Testing
- kNN estimation in semi-functional partial linear regression with missing responses at random
- Cross-Calibrated Confidence Fields for Local Risk Updates
- A Flat Connection: The Pooling Factor and the Geometry of Centring in Hierarchical MCMC
- Bounded Difference Concentration for Infinitely Exchangeable Sequences with Applications to AI Benchmark Uncertainty
- Proximal Mediation Analysis with Hidden Recanting Witnesses
- On Response-Adaptive Targeting Strategies for Multi-Treatment Experiments
- A Diffusion Approximation for Temporal-Difference Learning with Linear Features under Markovian Noise
- Shrinkage priors for Bayesian Substitute Confounders
- Generalized Neural Distributional Regression
- Wild bootstrap for mean response inference in functional linear regression models
- Moment-Free Kunchenko Stochastic Polynomials via Empirical Characteristic Function