arXiv Statistics @arxiv_stats@qoto.org

Consistency of Empirical Bayes And Kernel Flow For Hierarchical Parameter Estimation. (arXiv:2005.11375v1 [math.ST]) http://arxiv.org/abs/2005.11375

Estimation of cluster functionals for regularly varying time series: sliding blocks estimators. (arXiv:2005.11378v1 [math.ST]) http://arxiv.org/abs/2005.11378

MANGO: A Python Library for Parallel Hyperparameter Tuning. (arXiv:2005.11394v1 [cs.LG]) http://arxiv.org/abs/2005.11394

Instability, Computational Efficiency and Statistical Accuracy. (arXiv:2005.11411v1 [cs.LG]) http://arxiv.org/abs/2005.11411

FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data. (arXiv:2005.11418v1 [cs.LG]) http://arxiv.org/abs/2005.11418

Active Learning for Skewed Data Sets. (arXiv:2005.11442v1 [cs.LG]) http://arxiv.org/abs/2005.11442

Most Likely Optimal Subsampled Markov Chain Monte Carlo. (arXiv:2005.11461v1 [stat.ME]) http://arxiv.org/abs/2005.11461

Repurpose Open Data to Discover Therapeutics for COVID-19 using Deep Learning. (arXiv:2005.10831v1 [q-bio.QM]) http://arxiv.org/abs/2005.10831

Global Multiclass Classification from Heterogeneous Local Models. (arXiv:2005.10848v1 [cs.LG]) http://arxiv.org/abs/2005.10848

Conditionally Deep Hybrid Neural Networks Across Edge and Cloud. (arXiv:2005.10851v1 [cs.LG]) http://arxiv.org/abs/2005.10851

Automatic Detection of Influential Actors in Disinformation Networks. (arXiv:2005.10879v1 [cs.SI]) http://arxiv.org/abs/2005.10879

Revisiting Membership Inference Under Realistic Assumptions. (arXiv:2005.10881v1 [cs.CR]) http://arxiv.org/abs/2005.10881

PatchGuard: Provable Defense against Adversarial Patches Using Masks on Small Receptive Fields. (arXiv:2005.10884v1 [cs.CV]) http://arxiv.org/abs/2005.10884

Combining Cluster Sampling and Link-Tracing Sampling to Estimate Totals and Means of Hidden Populations in Presence of Heterogeneous Probabilities of Links. (arXiv:2005.10892v1 [stat.ME]) http://arxiv.org/abs/2005.10892

Global Optimization of Gaussian processes. (arXiv:2005.10902v1 [math.OC]) http://arxiv.org/abs/2005.10902

CHEER: Rich Model Helps Poor Model via Knowledge Infusion. (arXiv:2005.10918v1 [cs.LG]) http://arxiv.org/abs/2005.10918

Correlated Mixed Membership Modeling of Somatic Mutations. (arXiv:2005.10919v1 [stat.ML]) http://arxiv.org/abs/2005.10919

Model-Based Robust Deep Learning. (arXiv:2005.10247v1 [cs.LG]) http://arxiv.org/abs/2005.10247

An Adversarial Approach for Explaining the Predictions of Deep Neural Networks. (arXiv:2005.10284v1 [cs.LG]) http://arxiv.org/abs/2005.10284

Functional principal component analysis for global sensitivity analysis of model with spatial output. (arXiv:2005.10285v1 [stat.ME]) http://arxiv.org/abs/2005.10285