arXiv Statistics @arxiv_stats@qoto.org

A strong law of large numbers for scrambled net integration. (arXiv:2002.07859v1 [math.NA]) http://arxiv.org/abs/2002.07859

Learning Similarity Metrics for Numerical Simulations. (arXiv:2002.07863v1 [cs.LG]) http://arxiv.org/abs/2002.07863

Global Convergence of Deep Networks with One Wide Layer Followed by Pyramidal Topology. (arXiv:2002.07867v1 [cs.LG]) http://arxiv.org/abs/2002.07867

A survey of statistical learning techniques as applied to inexpensive pediatric Obstructive Sleep Apnea data. (arXiv:2002.07873v1 [q-bio.QM]) http://arxiv.org/abs/2002.07873

Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other Tasks. (arXiv:2002.07874v1 [q-bio.QM]) http://arxiv.org/abs/2002.07874

CBIR using features derived by Deep Learning. (arXiv:2002.07877v1 [cs.IR]) http://arxiv.org/abs/2002.07877

Observational nonidentifiability, generalized likelihood and free energy. (arXiv:2002.07884v1 [stat.ML]) http://arxiv.org/abs/2002.07884

Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy. (arXiv:2002.07161v1 [physics.med-ph]) http://arxiv.org/abs/2002.07161

Kalman meets Bellman: Improving Policy Evaluation through Value Tracking. (arXiv:2002.07171v1 [cs.LG]) http://arxiv.org/abs/2002.07171

How Impersonators Exploit Instagram to Generate Fake Engagement?. (arXiv:2002.07173v1 [cs.SI]) http://arxiv.org/abs/2002.07173

Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network. (arXiv:2002.07206v1 [cs.LG]) http://arxiv.org/abs/2002.07206

Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack. (arXiv:2002.07214v1 [cs.LG]) http://arxiv.org/abs/2002.07214

Decision-Making with Auto-Encoding Variational Bayes. (arXiv:2002.07217v1 [stat.ML]) http://arxiv.org/abs/2002.07217

Evolutionary Optimization of Deep Learning Activation Functions. (arXiv:2002.07224v1 [cs.LG]) http://arxiv.org/abs/2002.07224

On the Discrepancy between Density Estimation and Sequence Generation. (arXiv:2002.07233v1 [cs.LG]) http://arxiv.org/abs/2002.07233

Bayesian Quantile Factor Models. (arXiv:2002.07242v1 [stat.ME]) http://arxiv.org/abs/2002.07242

Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness. (arXiv:2002.07246v1 [stat.ML]) http://arxiv.org/abs/2002.07246

An implicit function learning approach for parametric modal regression. (arXiv:2002.06195v1 [stat.ML]) http://arxiv.org/abs/2002.06195

Fast Fair Regression via Efficient Approximations of Mutual Information. (arXiv:2002.06200v1 [cs.LG]) http://arxiv.org/abs/2002.06200

A Bayesian time-to-event pharmacokinetic model for phase I dose-escalation trials with multiple schedules. (arXiv:2002.06204v1 [stat.ME]) http://arxiv.org/abs/2002.06204