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Marginal log-linear models and mediation analysis. (arXiv:2204.08538v1 [stat.ME]) arxiv.org/abs/2204.08538

Adaptive Noisy Data Augmentation for Regularized Estimation and Inference in Generalized Linear Models. (arXiv:2204.08574v1 [stat.ML]) arxiv.org/abs/2204.08574

Minimizing Fleet Size and Improving Bike Allocation of Bike Sharing under Future Uncertainty. (arXiv:2204.08603v1 [stat.OT]) arxiv.org/abs/2204.08603

Equity in Resident Crowdsourcing: Measuring Under-reporting without Ground Truth Data. (arXiv:2204.08620v1 [stat.AP]) arxiv.org/abs/2204.08620

Asymptotic Independence of the Quadratic form and Maximum of Independent Random Variables with Applications to High-Dimensional Tests. (arXiv:2204.08628v1 [stat.ME]) arxiv.org/abs/2204.08628

Imbalanced Classification via a Tabular Translation GAN. (arXiv:2204.08683v1 [cs.LG]) arxiv.org/abs/2204.08683

Independence Testing for Bounded Degree Bayesian Network. (arXiv:2204.08690v1 [cs.DS]) arxiv.org/abs/2204.08690

Neural Collapse Inspired Attraction-Repulsion-Balanced Loss for Imbalanced Learning. (arXiv:2204.08735v1 [cs.LG]) arxiv.org/abs/2204.08735

Influence of Repetition through Limited Recall. (arXiv:2204.08741v1 [cs.SI]) arxiv.org/abs/2204.08741

Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning. (arXiv:2204.07596v1 [stat.ML]) arxiv.org/abs/2204.07596

Resource-Constrained Neural Architecture Search on Tabular Datasets. (arXiv:2204.07615v1 [cs.LG]) arxiv.org/abs/2204.07615

A generative neural network model for random dot product graphs. (arXiv:2204.07634v1 [stat.ML]) arxiv.org/abs/2204.07634

Wavelet Moments for Cosmological Parameter Estimation. (arXiv:2204.07646v1 [astro-ph.CO]) arxiv.org/abs/2204.07646

Abadie's Kappa and Weighting Estimators of the Local Average Treatment Effect. (arXiv:2204.07672v1 [econ.EM]) arxiv.org/abs/2204.07672

Space-sequential particle filters for high-dimensional dynamical systems described by stochastic differential equations. (arXiv:2204.07680v1 [stat.CO]) arxiv.org/abs/2204.07680

Theory of Graph Neural Networks: Representation and Learning. (arXiv:2204.07697v1 [cs.LG]) arxiv.org/abs/2204.07697

On Acceleration of Gradient-Based Empirical Risk Minimization using Local Polynomial Regression. (arXiv:2204.07702v1 [math.OC]) arxiv.org/abs/2204.07702

FKreg: A MATLAB toolbox for fast Multivariate Kernel Regression. (arXiv:2204.07716v1 [stat.ME]) arxiv.org/abs/2204.07716

DRFLM: Distributionally Robust Federated Learning with Inter-client Noise via Local Mixup. (arXiv:2204.07742v1 [cs.LG]) arxiv.org/abs/2204.07742

Diagnosing and Fixing Manifold Overfitting in Deep Generative Models. (arXiv:2204.07172v1 [stat.ML]) arxiv.org/abs/2204.07172

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