arXiv Statistics @arxiv_stats@qoto.org

Tight Second-Order Certificates for Randomized Smoothing. (arXiv:2010.10549v1 [cs.LG]) http://arxiv.org/abs/2010.10549

Bayesian Algorithms for Decentralized Stochastic Bandits. (arXiv:2010.10569v1 [stat.ML]) http://arxiv.org/abs/2010.10569

When to Relax Social Distancing Measures? An ARIMA Based Forecasting Study. (arXiv:2010.10587v1 [stat.AP]) http://arxiv.org/abs/2010.10587

Introducing the treatment hierarchy question in network meta-analysis. (arXiv:2010.10588v1 [stat.ME]) http://arxiv.org/abs/2010.10588

Counterfactual Explanations for Machine Learning: A Review. (arXiv:2010.10596v1 [cs.LG]) http://arxiv.org/abs/2010.10596

A Dynamic Taylor's Law. (arXiv:2010.10598v1 [math.ST]) http://arxiv.org/abs/2010.10598

Bayesian Attention Modules. (arXiv:2010.10604v1 [stat.ML]) http://arxiv.org/abs/2010.10604

ENSURE: Ensemble Stein's Unbiased Risk Estimator for Unsupervised Learning. (arXiv:2010.10631v1 [cs.CV]) http://arxiv.org/abs/2010.10631

Robust Constrained Reinforcement Learning for Continuous Control with Model Misspecification. (arXiv:2010.10644v1 [cs.LG]) http://arxiv.org/abs/2010.10644

ABC-Di: Approximate Bayesian Computation for Discrete Data. (arXiv:2010.09790v1 [stat.ML]) http://arxiv.org/abs/2010.09790

Surprise: Result List Truncation via Extreme Value Theory. (arXiv:2010.09797v1 [cs.IR]) http://arxiv.org/abs/2010.09797

A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions. (arXiv:2010.09800v1 [stat.ML]) http://arxiv.org/abs/2010.09800

Imitation with Neural Density Models. (arXiv:2010.09808v1 [cs.LG]) http://arxiv.org/abs/2010.09808

Online Active Model Selection for Pre-trained Classifiers. (arXiv:2010.09818v1 [cs.LG]) http://arxiv.org/abs/2010.09818

Evaluating the incremental value of a new model: Area under the ROC curve or under the PR curve. (arXiv:2010.09822v1 [stat.ME]) http://arxiv.org/abs/2010.09822

Remarks on multivariate Gaussian Process. (arXiv:2010.09830v1 [math.ST]) http://arxiv.org/abs/2010.09830

Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference. (arXiv:2010.09851v1 [stat.ML]) http://arxiv.org/abs/2010.09851

Combining Ensembles and Data Augmentation can Harm your Calibration. (arXiv:2010.09875v1 [cs.LG]) http://arxiv.org/abs/2010.09875

Concentration of solutions to random equations with concentration of measure hypotheses. (arXiv:2010.09877v1 [math.PR]) http://arxiv.org/abs/2010.09877

Maximal couplings of the Metropolis-Hastings algorithm. (arXiv:2010.08573v1 [stat.CO]) http://arxiv.org/abs/2010.08573