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1,244 records
- Boundary Geometry Determines Optimal Shallow ReLU Approximation under Weighted Coefficient Constraints
- Reducing Complexity of Pseudo-Marginal Sequential Monte Carlo via Hierarchical Tempering
- Finite-Sample Optimal Conformal Prediction Sets under Covariate Shift
- Covariance spectra of random linear systems near instability
- A new categorical correlation measure
- Distribution-free predictive inference with instrumental variables
- Provably Efficient Q-learning for Robust Reinforcement Learning
- Recertifying decisions via e-closure: uniform improvements of conformal risk control and randomized e-BH
- Learning on-the-fly quasi-stationarity diagnostics from low-dimensional surrogates
- Approximation Families and the Statistical Efficiency of Denoising Score Matching
- Extreme proxies for causal identification: deconfounding with outliers
- Nonlinear Reduced-Bias Extreme Value Index Estimators: A Comparative Study
- Inference for Causal Path-Specific Effects in Longitudinal Studies with Repeated Treatments and Multiple Mediators
- Intrinsic Gradient Barriers in Pushforward Deep Generative Models
- Certifying Distributionally Robust Decisions from Projection Observations
- Demand Estimation with Unobserved Stockout Substitution: Exact Likelihood Maximization
- Recursive moment updates for scalable Bayesian nonparametric regression
- Online Covariance Estimation for Averaged Stochastic Gradient Descent on Riemannian Manifolds
- Affine-invariant Cubic Newton with Weak Learners
- On the Error Analysis of Triangular Transport Maps for Conditional Generation via MMD-based Objectives
- Identification and curvature bias for shared inputs in multichannel dynamical models
- Renewable model averaging for generalized linear models
- An Integrated Framework for Assessing Interpretability in Exploratory Factor Analysis
- Optimal Experimental Design for the Polynomial Maximization Method: a Higher-Order Reserve Beyond Second-Order Design Theory
- Higher Order Asymptotics of Regression Adjustment Estimators for Causal Inference
- Implicit Neural Representations for Variational Problems on Graphons
- Mapping Academic Sports Analytics: A Content Analysis of JQAS and JSA
- Exact Global Minimax Risk near Nonidentification
- Score-Preserving Continual Lasso under Task Shift
- Kernelised covariance matrices, dimension reduction and imbalanced spectral clustering
- Not All Mislabels Are Equal: Efficient Task-Aware Auditing with Confidence Sequences
- Sequential Monte Carlo Sampling of Feasible Regions Represented by R-Functions
- Deep Learning for Random Objects in Metric Spaces: Beyond Manifold Assumptions
- Dimension-free regimes for unadjusted Langevin in ridge-separable models: A subspace robust Wasserstein analysis
- Maximum Likelihood Estimation and Likelihood Ratio Tests for the Power Spherical Distribution
- Early learning in large residual networks
- Parallel Trends as a Spectrum
- A unified approach for estimation of unnormalized models via Stein operators
- Differentially Private Synthetic Data via Generalized Moment Matching
- Bridge change-of-measure for propagator estimation of diffusions
- Beyond exponential tilting: sharp asymptotics and improved importance sampling for rare events
- Geometry-informed importance sampling for rare events
- Annealed correlation and quenched noise sensitivity in biased deep neural networks
- Nonparametric In-Context Learning and Inference via Measure-Indexed Kernel Ridge Regression
- Likelihood-Based Confidence Curves for Bounded Parameters
- Confessions of a Masked MDP
- Borrowing Strength Across Stores: Transfer Learning for Choice-Based Revenue Management
- Anytime-Valid Inference in Linear Models with Clustered Outcomes: Exact Multivariate Tests and Cluster-Robust Confidence Sequences
- Corrected Block Sparse Spectral Optimization: Exact Models, Finite Identification, and Local Dynamics
- Gaussian Approximation of Besov Functions for Logistic Classification on Manifolds