arXiv Statistics @arxiv_stats@qoto.org

Deep Ensembles on a Fixed Memory Budget: One Wide Network or Several Thinner Ones?. (arXiv:2005.07292v1 [cs.LG]) http://arxiv.org/abs/2005.07292

Statistical Equity: A Fairness Classification Objective. (arXiv:2005.07293v1 [cs.LG]) http://arxiv.org/abs/2005.07293

Sensor Data for Human Activity Recognition: Feature Representation and Benchmarking. (arXiv:2005.07308v1 [cs.LG]) http://arxiv.org/abs/2005.07308

Hierarchical causal variance decomposition for institution and provider comparisons in healthcare. (arXiv:2005.07314v1 [stat.ME]) http://arxiv.org/abs/2005.07314

A causal model for subgroup effects in randomized screening trials. (arXiv:2005.07322v1 [stat.ME]) http://arxiv.org/abs/2005.07322

Optimizing SAR data processing and thresholding for forest change detection: an application for early deforestation warnings on eastern Amazonia. (arXiv:2005.07334v1 [stat.AP]) http://arxiv.org/abs/2005.07334

Model Linkage Selection for Cooperative Learning. (arXiv:2005.07342v1 [stat.ME]) http://arxiv.org/abs/2005.07342

Temporal Poisson Square Root Graphical Models. (arXiv:2005.06462v1 [cs.LG]) http://arxiv.org/abs/2005.06462

Coordinates-based Resource Allocation Through Supervised Machine Learning. (arXiv:2005.06509v1 [cs.LG]) http://arxiv.org/abs/2005.06509

The Equivalence of Fourier-based and Wasserstein Metrics on Imaging Problems. (arXiv:2005.06530v1 [math.OC]) http://arxiv.org/abs/2005.06530

Triaging moderate COVID-19 and other viral pneumonias from routine blood tests. (arXiv:2005.06546v1 [cs.LG]) http://arxiv.org/abs/2005.06546

Learning Composable Energy Surrogates for PDE Order Reduction. (arXiv:2005.06549v1 [cs.LG]) http://arxiv.org/abs/2005.06549

Two equalities expressing the determinant of a matrix in terms of expectations over matrix-vector products. (arXiv:2005.06553v1 [stat.CO]) http://arxiv.org/abs/2005.06553

Consistency of permutation tests for HSIC and dHSIC. (arXiv:2005.06573v1 [math.ST]) http://arxiv.org/abs/2005.06573

A framework for probabilistic weather forecast post-processing across models and lead times using machine learning. (arXiv:2005.06613v1 [stat.AP]) http://arxiv.org/abs/2005.06613

Conservative two-stage group testing. (arXiv:2005.06617v1 [stat.AP]) http://arxiv.org/abs/2005.06617

Kernel Analog Forecasting: Multiscale Test Problems. (arXiv:2005.06623v1 [math.ST]) http://arxiv.org/abs/2005.06623

Deep Learning Techniques for Inverse Problems in Imaging. (arXiv:2005.06001v1 [eess.IV]) http://arxiv.org/abs/2005.06001

High Probability Lower Bounds for the Total Variation Distance. (arXiv:2005.06006v1 [math.ST]) http://arxiv.org/abs/2005.06006

Generalized Multi-view Shared Subspace Learning using View Bootstrapping. (arXiv:2005.06038v1 [cs.LG]) http://arxiv.org/abs/2005.06038