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An Invariant Matching Property for Distribution Generalization under Intervened Response. (arXiv:2205.09162v1 [stat.ME]) arxiv.org/abs/2205.09162

Hybrid Machine Learning Modeling of Engineering Systems -- A Probabilistic Perspective Tested on a Multiphase Flow Modeling Case Study. (arXiv:2205.09196v1 [cs.LG]) arxiv.org/abs/2205.09196

Power Transformations of Relative Count Data as a Shrinkage Problem. (arXiv:2205.09215v1 [stat.ME]) arxiv.org/abs/2205.09215

A Classification of $G$-invariant Shallow Neural Networks. (arXiv:2205.09219v1 [cs.LG]) arxiv.org/abs/2205.09219

Constraint-Based Causal Structure Learning from Undersampled Graphs. (arXiv:2205.09235v1 [stat.ML]) arxiv.org/abs/2205.09235

Linear prediction of point process times and marks. (arXiv:2205.09238v1 [stat.ME]) arxiv.org/abs/2205.09238

Riemannian Metric Learning via Optimal Transport. (arXiv:2205.09244v1 [cs.LG]) arxiv.org/abs/2205.09244

Change-point Detection for Sparse and Dense Functional Data in General Dimensions. (arXiv:2205.09252v1 [stat.ME]) arxiv.org/abs/2205.09252

A Mutually Exciting Latent Space Hawkes Process Model for Continuous-time Networks. (arXiv:2205.09263v1 [cs.LG]) arxiv.org/abs/2205.09263

PROLIFIC: Projection-based Test for Lack of Importance of Smooth Functional Effect in Crossover Design. (arXiv:2205.08577v1 [stat.ME]) arxiv.org/abs/2205.08577

Treatment Choice with Nonlinear Regret. (arXiv:2205.08586v1 [econ.EM]) arxiv.org/abs/2205.08586

Sampling with replacement vs Poisson sampling: a comparative study in optimal subsampling. (arXiv:2205.08588v1 [math.ST]) arxiv.org/abs/2205.08588

Deep Neural Network Classifier for Multi-dimensional Functional Data. (arXiv:2205.08592v1 [stat.ML]) arxiv.org/abs/2205.08592

Bayesian Discrete Conditional Transformation Models. (arXiv:2205.08594v1 [stat.ME]) arxiv.org/abs/2205.08594

Bagged Polynomial Regression and Neural Networks. (arXiv:2205.08609v1 [stat.ML]) arxiv.org/abs/2205.08609

Optimal nonparametric testing of Missing Completely At Random, and its connections to compatibility. (arXiv:2205.08627v1 [math.ST]) arxiv.org/abs/2205.08627

Classification as Direction Recovery: Improved Guarantees via Scale Invariance. (arXiv:2205.08633v1 [stat.ML]) arxiv.org/abs/2205.08633

Targeted learning: Towards a future informed by real-world evidence. (arXiv:2205.08643v1 [stat.AP]) arxiv.org/abs/2205.08643

A Note on the Chernoff Bound for Random Variables in the Unit Interval. (arXiv:2205.07880v1 [stat.ML]) arxiv.org/abs/2205.07880

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