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Gradient and Uncertainty Enhanced Sequential Sampling for Global Fit. (arXiv:2310.00110v1 [stat.ML]) arxiv.org/abs/2310.00110

Covariance Expressions for Multi-Fidelity Sampling with Multi-Output, Multi-Statistic Estimators: Application to Approximate Control Variates. (arXiv:2310.00125v1 [stat.CO]) arxiv.org/abs/2310.00125

Simulations for Meta-analysis of Magnitude Measures. (arXiv:2310.00126v1 [stat.ME]) arxiv.org/abs/2310.00126

On the Disconnect Between Theory and Practice of Overparametrized Neural Networks. (arXiv:2310.00137v1 [cs.LG]) arxiv.org/abs/2310.00137

Normalized insured losses caused by windstorms in Quebec and Ontario, Canada, in the period 2008-2021. (arXiv:2309.16695v1 [econ.GN]) arxiv.org/abs/2309.16695

Implicit Gaussian process representation of vector fields over arbitrary latent manifolds. (arXiv:2309.16746v1 [cs.LG]) arxiv.org/abs/2309.16746

Subset-Reach Estimation in Cross-Media Measurement. (arXiv:2309.16774v1 [stat.ME]) arxiv.org/abs/2309.16774

Intriguing properties of generative classifiers. (arXiv:2309.16779v1 [cs.CV]) arxiv.org/abs/2309.16779

Insight from the Kullback--Leibler divergence into adaptive importance sampling schemes for rare event analysis in high dimension. (arXiv:2309.16828v1 [math.ST]) arxiv.org/abs/2309.16828

An analysis of the derivative-free loss method for solving PDEs. (arXiv:2309.16829v1 [math.NA]) arxiv.org/abs/2309.16829

A Mean Field Approach to Empirical Bayes Estimation in High-dimensional Linear Regression. (arXiv:2309.16843v1 [math.ST]) arxiv.org/abs/2309.16843

Optimal Nonlinearities Improve Generalization Performance of Random Features. (arXiv:2309.16846v1 [cs.LG]) arxiv.org/abs/2309.16846

A Variational Spike-and-Slab Approach for Group Variable Selection. (arXiv:2309.16855v1 [stat.ME]) arxiv.org/abs/2309.16855

Temporally-Evolving Generalised Networks and their Reproducing Kernels. (arXiv:2309.15855v1 [cs.SI]) arxiv.org/abs/2309.15855

Application of data acquisition methods in the field of scientific research of public policy. (arXiv:2309.15973v1 [stat.ME]) arxiv.org/abs/2309.15973

What To Do (and Not to Do) with Causal Panel Analysis under Parallel Trends: Lessons from A Large Reanalysis Study. (arXiv:2309.15983v1 [stat.ME]) arxiv.org/abs/2309.15983

Improving Adaptive Online Learning Using Refined Discretization. (arXiv:2309.16044v1 [cs.LG]) arxiv.org/abs/2309.16044

Predicting Cardiovascular Complications in Post-COVID-19 Patients Using Data-Driven Machine Learning Models. (arXiv:2309.16059v1 [cs.LG]) arxiv.org/abs/2309.16059

Bayesian Cram\'er-Rao Bound Estimation with Score-Based Models. (arXiv:2309.16076v1 [math.ST]) arxiv.org/abs/2309.16076

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