arXiv Statistics @arxiv_stats@qoto.org

stream-learn -- open-source Python library for difficult data stream batch analysis. (arXiv:2001.11077v1 [cs.LG]) http://arxiv.org/abs/2001.11077

Crash Themes in Automated Vehicles: A Topic Modeling Analysis of the California Department of Motor Vehicles Automated Vehicle Crash Database. (arXiv:2001.11087v1 [stat.AP]) http://arxiv.org/abs/2001.11087

Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding. (arXiv:2001.11101v1 [cs.LG]) http://arxiv.org/abs/2001.11101

Ensemble Grammar Induction For Detecting Anomalies in Time Series. (arXiv:2001.11102v1 [cs.LG]) http://arxiv.org/abs/2001.11102

Simulation of electron-proton scattering events by a Feature-Augmented and Transformed Generative Adversarial Network (FAT-GAN). (arXiv:2001.11103v1 [hep-ph]) http://arxiv.org/abs/2001.11103

Asymptotics of Cross-Validation. (arXiv:2001.11111v1 [math.ST]) http://arxiv.org/abs/2001.11111

GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values. (arXiv:2001.11113v1 [cs.LG]) http://arxiv.org/abs/2001.11113

The KEEN Universe: An Ecosystem for Knowledge Graph Embeddings with a Focus on Reproducibility and Transferability. (arXiv:2001.10560v1 [cs.LG]) http://arxiv.org/abs/2001.10560

Landmark2Vec: An Unsupervised Neural Network-Based Landmark Positioning Method. (arXiv:2001.10568v1 [cs.LG]) http://arxiv.org/abs/2001.10568

The e-value: A Fully Bayesian Significance Measure for Precise Statistical Hypotheses and its Research Program. (arXiv:2001.10577v1 [stat.ME]) http://arxiv.org/abs/2001.10577

On Newton Screening. (arXiv:2001.10616v1 [stat.ML]) http://arxiv.org/abs/2001.10616

Fast Rates for Online Prediction with Abstention. (arXiv:2001.10623v1 [cs.LG]) http://arxiv.org/abs/2001.10623

Sub-Gaussian Matrices on Sets: Optimal Tail Dependence and Applications. (arXiv:2001.10631v1 [cs.IT]) http://arxiv.org/abs/2001.10631

Binary Classification from Positive Data with Skewed Confidence. (arXiv:2001.10642v1 [stat.ML]) http://arxiv.org/abs/2001.10642

Modelling and Quantifying Membership Information Leakage in Machine Learning. (arXiv:2001.10648v1 [cs.LG]) http://arxiv.org/abs/2001.10648

Treatment effect estimation with disentangled latent factors. (arXiv:2001.10652v1 [cs.LG]) http://arxiv.org/abs/2001.10652

Regularization Helps with Mitigating Poisoning Attacks: Distributionally-Robust Machine Learning Using the Wasserstein Distance. (arXiv:2001.10655v1 [cs.LG]) http://arxiv.org/abs/2001.10655

Generating Natural Adversarial Hyperspectral examples with a modified Wasserstein GAN. (arXiv:2001.09993v1 [cs.LG]) http://arxiv.org/abs/2001.09993

A Primer on Domain Adaptation. (arXiv:2001.09994v1 [cs.LG]) http://arxiv.org/abs/2001.09994

A Proposed Method for Assessing Cluster Heterogeneity. (arXiv:2001.09996v1 [stat.ME]) http://arxiv.org/abs/2001.09996