arXiv Statistics @arxiv_stats@qoto.org

Projection pursuit with applications to scRNA sequencing data. (arXiv:1912.07602v1 [stat.ME]) http://arxiv.org/abs/1912.07602

Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms. (arXiv:1912.07618v1 [cs.LG]) http://arxiv.org/abs/1912.07618

Learning Mixtures of Linear Regressions in Subexponential Time via Fourier Moments. (arXiv:1912.07629v1 [cs.DS]) http://arxiv.org/abs/1912.07629

User Friendly Automatic Construction of Background Knowledge: Mode Construction from ER Diagrams. (arXiv:1912.07650v1 [cs.AI]) http://arxiv.org/abs/1912.07650

UNAS: Differentiable Architecture Search Meets Reinforcement Learning. (arXiv:1912.07651v1 [cs.LG]) http://arxiv.org/abs/1912.07651

It's easy to fool yourself: Case studies on identifying bias and confounding in bio-medical datasets. (arXiv:1912.07661v1 [cs.LG]) http://arxiv.org/abs/1912.07661

Graph Input Representations for Machine Learning Applications in Urban Network Analysis. (arXiv:1912.07662v1 [cs.LG]) http://arxiv.org/abs/1912.07662

Spatial-Temporal Self-Attention Network for Flow Prediction. (arXiv:1912.07663v1 [cs.LG]) http://arxiv.org/abs/1912.07663

Pairwise Feedback for Data Programming. (arXiv:1912.07685v1 [cs.LG]) http://arxiv.org/abs/1912.07685

High dimensional precision medicine from patient-derived xenografts. (arXiv:1912.06667v1 [stat.ML]) http://arxiv.org/abs/1912.06667

Conditional Super Learner. (arXiv:1912.06675v1 [stat.ML]) http://arxiv.org/abs/1912.06675

Dota 2 with Large Scale Deep Reinforcement Learning. (arXiv:1912.06680v1 [cs.LG]) http://arxiv.org/abs/1912.06680

Unsupervised and Generic Short-Term Anticipation of Human Body Motions. (arXiv:1912.06688v1 [cs.LG]) http://arxiv.org/abs/1912.06688

Frequentist Consistency of Gaussian Process Regression. (arXiv:1912.06689v1 [stat.ML]) http://arxiv.org/abs/1912.06689

A posteriori Trading-inspired Model-free Time Series Segmentation. (arXiv:1912.06708v1 [stat.ML]) http://arxiv.org/abs/1912.06708

Robustness and sensitivity analyses for stochastic volatility models under uncertain data structure. (arXiv:1912.06709v1 [q-fin.PR]) http://arxiv.org/abs/1912.06709

AutoAIViz: Opening the Blackbox of Automated Artificial Intelligence with Conditional Parallel Coordinates. (arXiv:1912.06723v1 [cs.LG]) http://arxiv.org/abs/1912.06723

On the approximation of rough functions with deep neural networks. (arXiv:1912.06732v1 [math.NA]) http://arxiv.org/abs/1912.06732

Private Federated Learning with Domain Adaptation. (arXiv:1912.06733v1 [cs.LG]) http://arxiv.org/abs/1912.06733

Calibrated model-based evidential clustering using bootstrapping. (arXiv:1912.06137v1 [cs.LG]) http://arxiv.org/abs/1912.06137