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Landmark2Vec: An Unsupervised Neural Network-Based Landmark Positioning Method. (arXiv:2001.10568v1 [cs.LG]) 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]) arxiv.org/abs/2001.10577

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

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

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

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

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

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

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

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

Variational Optimization on Lie Groups, with Examples of Leading (Generalized) Eigenvalue Problems. (arXiv:2001.10006v1 [cs.LG]) arxiv.org/abs/2001.10006

Multivariate Gaussian Variational Inference by Natural Gradient Descent. (arXiv:2001.10025v1 [stat.ML]) arxiv.org/abs/2001.10025

StageNet: Stage-Aware Neural Networks for Health Risk Prediction. (arXiv:2001.10054v1 [cs.LG]) arxiv.org/abs/2001.10054

Medi-Care AI: Predicting Medications From Billing Codes via Robust Recurrent Neural Networks. (arXiv:2001.10065v1 [cs.LG]) arxiv.org/abs/2001.10065

LIBTwinSVM: A Library for Twin Support Vector Machines. (arXiv:2001.10073v1 [cs.LG]) arxiv.org/abs/2001.10073

Multi-label Prediction in Time Series Data using Deep Neural Networks. (arXiv:2001.10098v1 [cs.LG]) arxiv.org/abs/2001.10098

Imputation for High-Dimensional Linear Regression. (arXiv:2001.09180v1 [math.ST]) arxiv.org/abs/2001.09180

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