arXiv Statistics @arxiv_stats@qoto.org

Large-P Variable Selection in Two-Stage Models. (arXiv:2003.10484v1 [stat.AP]) http://arxiv.org/abs/2003.10484

Creating Synthetic Datasets via Evolution for Neural Program Synthesis. (arXiv:2003.10485v1 [cs.LG]) http://arxiv.org/abs/2003.10485

Approximate Bayesian inference for a spatial point process model exhibiting regularity and random aggregation. (arXiv:2003.10490v1 [stat.ME]) http://arxiv.org/abs/2003.10490

Multivariate Matrix Mittag--Leffler distributions. (arXiv:2003.10517v1 [math.PR]) http://arxiv.org/abs/2003.10517

Neural Networks and Polynomial Regression. Demystifying the Overparametrization Phenomena. (arXiv:2003.10523v1 [stat.ML]) http://arxiv.org/abs/2003.10523

Modelling Network Interference with Multi-valued Treatments: the Causal Effect of Immigration Policy on Crime Rates. (arXiv:2003.10525v1 [stat.AP]) http://arxiv.org/abs/2003.10525

A Simultaneous Inference Procedure to Identify Subgroups from RCTs with Survival Outcomes: Application to Analysis of AMD Progression Studies. (arXiv:2003.10528v1 [stat.AP]) http://arxiv.org/abs/2003.10528

Coronavirus (COVID-19) Classification using CT Images by Machine Learning Methods. (arXiv:2003.09424v1 [cs.CV]) http://arxiv.org/abs/2003.09424

aphBO-2GP-3B: A budgeted asynchronously-parallel multi-acquisition for known/unknown constrained Bayesian optimization on high-performing computing architecture. (arXiv:2003.09436v1 [stat.ML]) http://arxiv.org/abs/2003.09436

Deep Sets for Generalization in RL. (arXiv:2003.09443v1 [cs.LG]) http://arxiv.org/abs/2003.09443

Learning reduced systems via deep neural networks with memory. (arXiv:2003.09451v1 [stat.ML]) http://arxiv.org/abs/2003.09451

Probabilistic learning of boolean functions applied to the binary classification problem with categorical covariates. (arXiv:2003.09454v1 [stat.ML]) http://arxiv.org/abs/2003.09454

Explained Variation under the Additive Hazards Model. (arXiv:2003.09460v1 [stat.AP]) http://arxiv.org/abs/2003.09460

Adversarial Robustness on In- and Out-Distribution Improves Explainability. (arXiv:2003.09461v1 [cs.LG]) http://arxiv.org/abs/2003.09461

Weighted Meta-Learning. (arXiv:2003.09465v1 [stat.ML]) http://arxiv.org/abs/2003.09465

Locally Interpretable Predictions of Parkinson's Disease Progression. (arXiv:2003.09466v1 [cs.LG]) http://arxiv.org/abs/2003.09466

BIG sampling. (arXiv:2003.09467v1 [stat.ME]) http://arxiv.org/abs/2003.09467

Voice and accompaniment separation in music using self-attention convolutional neural network. (arXiv:2003.08954v1 [eess.AS]) http://arxiv.org/abs/2003.08954

Weighted Cox regression for the prediction of heterogeneous patient subgroups. (arXiv:2003.08965v1 [stat.ME]) http://arxiv.org/abs/2003.08965

The Vector Poisson Channel: On the Linearity of the Conditional Mean Estimator. (arXiv:2003.08967v1 [cs.IT]) http://arxiv.org/abs/2003.08967