arXiv Statistics @arxiv_stats@qoto.org

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

Guaranteeing Reproducibility in Deep Learning Competitions. (arXiv:2005.06041v1 [cs.LG]) http://arxiv.org/abs/2005.06041

Visual Analytics and Human Involvement in Machine Learning. (arXiv:2005.06057v1 [cs.LG]) http://arxiv.org/abs/2005.06057

A computational model implementing subjectivity with the 'Room Theory'. The case of detecting Emotion from Text. (arXiv:2005.06059v1 [cs.CL]) http://arxiv.org/abs/2005.06059

TOMA: Topological Map Abstraction for Reinforcement Learning. (arXiv:2005.06061v1 [cs.LG]) http://arxiv.org/abs/2005.06061

Detection thresholds in very sparse matrix completion. (arXiv:2005.06062v1 [math.PR]) http://arxiv.org/abs/2005.06062

Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error. (arXiv:2005.06083v1 [cs.LG]) http://arxiv.org/abs/2005.06083

Adaptive Double-Exploration Tradeoff for Outlier Detection. (arXiv:2005.06092v1 [cs.LG]) http://arxiv.org/abs/2005.06092