arXiv Statistics @arxiv_stats@social.cleverlibre.org

A unified machine learning approach to time series forecasting applied to demand at emergency departments. (arXiv:2007.06566v1 [stat.AP]) http://arxiv.org/abs/2007.06566

COVID-19 infectivity profile correction. (arXiv:2007.06602v1 [q-bio.PE]) http://arxiv.org/abs/2007.06602

Privacy Amplification via Random Check-Ins. (arXiv:2007.06605v1 [cs.LG]) http://arxiv.org/abs/2007.06605

T-Basis: a Compact Representation for Neural Networks. (arXiv:2007.06631v1 [cs.LG]) http://arxiv.org/abs/2007.06631

Path Signatures on Lie Groups. (arXiv:2007.06633v1 [cs.CV]) http://arxiv.org/abs/2007.06633

Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging Modalities. (arXiv:2007.06634v1 [cs.CV]) http://arxiv.org/abs/2007.06634

Mixture of linear experts model for censored data: A novel approach with scale-mixture of normal distributions. (arXiv:2007.06635v1 [stat.ME]) http://arxiv.org/abs/2007.06635

Storing Encoded Episodes as Concepts for Continual Learning. (arXiv:2007.06637v1 [cs.CV]) http://arxiv.org/abs/2007.06637

Black-Box Control for Linear Dynamical Systems. (arXiv:2007.06650v1 [cs.LG]) http://arxiv.org/abs/2007.06650

Deep Neural-Kernel Machines. (arXiv:2007.06655v1 [cs.LG]) http://arxiv.org/abs/2007.06655

Flow-Based Likelihoods for Non-Gaussian Inference. (arXiv:2007.05535v1 [astro-ph.CO]) http://arxiv.org/abs/2007.05535

Climate & BCG: Effects on COVID-19 Death Growth Rates. (arXiv:2007.05542v1 [q-bio.PE]) http://arxiv.org/abs/2007.05542

Meta-Learning Requires Meta-Augmentation. (arXiv:2007.05549v1 [cs.LG]) http://arxiv.org/abs/2007.05549

Differentially private cross-silo federated learning. (arXiv:2007.05553v1 [cs.CR]) http://arxiv.org/abs/2007.05553

Bayesian Optimization of Risk Measures. (arXiv:2007.05554v1 [stat.ML]) http://arxiv.org/abs/2007.05554

Learning Entangled Single-Sample Gaussians in the Subset-of-Signals Model. (arXiv:2007.05557v1 [cs.LG]) http://arxiv.org/abs/2007.05557

The Computational Limits of Deep Learning. (arXiv:2007.05558v1 [cs.LG]) http://arxiv.org/abs/2007.05558

Reverse Annealing for Nonnegative/Binary Matrix Factorization. (arXiv:2007.05565v1 [cs.LG]) http://arxiv.org/abs/2007.05565

Contrastive Training for Improved Out-of-Distribution Detection. (arXiv:2007.05566v1 [cs.LG]) http://arxiv.org/abs/2007.05566

Variable Skipping for Autoregressive Range Density Estimation. (arXiv:2007.05572v1 [cs.LG]) http://arxiv.org/abs/2007.05572