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Valid predictions of group-level random effects. (arXiv:2202.01848v1 [stat.ME]) arxiv.org/abs/2202.01848

A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits. (arXiv:2202.01850v1 [stat.ML]) arxiv.org/abs/2202.01850

Modeling unknown dynamical systems with hidden parameters. (arXiv:2202.01858v1 [stat.ML]) arxiv.org/abs/2202.01858

A framework for quantifying the value of vibration-based structural health monitoring. (arXiv:2202.01859v1 [stat.AP]) arxiv.org/abs/2202.01859

Exploiting Independent Instruments: Identification and Distribution Generalization. (arXiv:2202.01864v1 [stat.ML]) arxiv.org/abs/2202.01864

Flexible Triggering Kernels for Hawkes Process Modeling. (arXiv:2202.01869v1 [cs.LG]) arxiv.org/abs/2202.01869

Generalizing to New Physical Systems via Context-Informed Dynamics Model. (arXiv:2202.01889v1 [cs.LG]) arxiv.org/abs/2202.01889

Deep Layer-wise Networks Have Closed-Form Weights. (arXiv:2202.01210v1 [stat.ML]) arxiv.org/abs/2202.01210

Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference. (arXiv:2202.01243v1 [stat.ML]) arxiv.org/abs/2202.01243

Catoni-style confidence sequences for heavy-tailed mean estimation. (arXiv:2202.01250v1 [math.ST]) arxiv.org/abs/2202.01250

NoisyMix: Boosting Robustness by Combining Data Augmentations, Stability Training, and Noise Injections. (arXiv:2202.01263v1 [cs.LG]) arxiv.org/abs/2202.01263

Automated processing of X-ray computed tomography images via panoptic segmentation for modeling woven composite textiles. (arXiv:2202.01265v1 [cs.CV]) arxiv.org/abs/2202.01265

FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations. (arXiv:2202.01267v1 [cs.LG]) arxiv.org/abs/2202.01267

Robust Estimation for Nonparametric Families via Generative Adversarial Networks. (arXiv:2202.01269v1 [cs.LG]) arxiv.org/abs/2202.01269

Multivariate nonparametric regression by least squares Jacobi polynomials approximations. (arXiv:2202.01283v1 [math.ST]) arxiv.org/abs/2202.01283

Fenrir: Physics-Enhanced Regression for Initial Value Problems. (arXiv:2202.01287v1 [cs.LG]) arxiv.org/abs/2202.01287

A fully Bayesian semi-parametric scalar-on-function regression (SoFR) with measurement error using instrumental variables. (arXiv:2202.00711v1 [stat.ME]) arxiv.org/abs/2202.00711

Framework for Evaluating Faithfulness of Local Explanations. (arXiv:2202.00734v1 [cs.LG]) arxiv.org/abs/2202.00734

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