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Using Expander Graphs to test whether samples are i.i.d. (arXiv:2008.01153v1 [math.ST]) arxiv.org/abs/2008.01153

A Spectral Energy Distance for Parallel Speech Synthesis. (arXiv:2008.01160v1 [eess.AS]) arxiv.org/abs/2008.01160

Deep Learning Models for Early Detection and Prediction of the spread of Novel Coronavirus (COVID-19). (arXiv:2008.01170v1 [cs.LG]) arxiv.org/abs/2008.01170

Deep Reinforcement Learning using Cyclical Learning Rates. (arXiv:2008.01171v1 [cs.LG]) arxiv.org/abs/2008.01171

Identifying meaningful clusters in malware data. (arXiv:2008.01175v1 [cs.CR]) arxiv.org/abs/2008.01175

COVID-19 mild cases determination from correlating COVID-line calls to reported cases. (arXiv:2008.01176v1 [q-bio.PE]) arxiv.org/abs/2008.01176

Musical Word Embedding: Bridging the Gap between Listening Contexts and Music. (arXiv:2008.01190v1 [cs.IR]) arxiv.org/abs/2008.01190

Rethinking Defaults Values: a Low Cost and Efficient Strategy to Define Hyperparameters. (arXiv:2008.00025v1 [cs.LG]) arxiv.org/abs/2008.00025

Cold Posteriors and Aleatoric Uncertainty. (arXiv:2008.00029v1 [stat.ML]) arxiv.org/abs/2008.00029

Generalized Cut Polytopes for Binary Hierarchical Models. (arXiv:2008.00043v1 [math.CO]) arxiv.org/abs/2008.00043

Analysis of Prescription Drug Utilization with Beta Regression Models. (arXiv:2008.00048v1 [stat.AP]) arxiv.org/abs/2008.00048

Mitigating the Backfire Effect Using Pacing and Leading. (arXiv:2008.00049v1 [cs.SI]) arxiv.org/abs/2008.00049

Analysis of SGD with Biased Gradient Estimators. (arXiv:2008.00051v1 [cs.LG]) arxiv.org/abs/2008.00051

F*: An Interpretable Transformation of the F-measure. (arXiv:2008.00103v1 [cs.LG]) arxiv.org/abs/2008.00103

Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach. (arXiv:2008.00104v1 [cs.LG]) arxiv.org/abs/2008.00104

Noise-response Analysis for Rapid Detection of Backdoors in Deep Neural Networks. (arXiv:2008.00123v1 [cs.LG]) arxiv.org/abs/2008.00123

Solar: a least-angle regression for accurate and stable variable selection in high-dimensional data. (arXiv:2007.15707v1 [stat.ML]) arxiv.org/abs/2007.15707

Privacy Enhancing Machine Learning via Removal of Unwanted Dependencies. (arXiv:2007.15710v1 [cs.LG]) arxiv.org/abs/2007.15710

On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice. (arXiv:2007.15745v1 [cs.LG]) arxiv.org/abs/2007.15745

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