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

Online Active Model Selection for Pre-trained Classifiers. (arXiv:2010.09818v1 [cs.LG]) 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]) arxiv.org/abs/2010.09822

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

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

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

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

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

Information Coefficient as a Performance Measure of Stock Selection Models. (arXiv:2010.08601v1 [q-fin.CP]) arxiv.org/abs/2010.08601

Minimal enumeration of all possible total effects in a Markov equivalence class. (arXiv:2010.08611v1 [math.ST]) arxiv.org/abs/2010.08611

A case where a spindly two-layer linear network whips any neural network with a fully connected input layer. (arXiv:2010.08625v1 [cs.LG]) arxiv.org/abs/2010.08625

Quantum-Inspired Classical Algorithm for Principal Component Regression. (arXiv:2010.08626v1 [cs.LG]) arxiv.org/abs/2010.08626

On Bayesian sparse canonical correlation analysis via Rayleigh quotient framework. (arXiv:2010.08627v1 [stat.ML]) arxiv.org/abs/2010.08627

Evaluation of a meta-analysis of ambient air quality as a risk factor for asthma exacerbation. (arXiv:2010.08628v1 [stat.AP]) arxiv.org/abs/2010.08628

Universal guarantees for decision tree induction via a higher-order splitting criterion. (arXiv:2010.08633v1 [cs.LG]) arxiv.org/abs/2010.08633

Significance testing for canonical correlation analysis in high dimensions. (arXiv:2010.08673v1 [stat.ME]) arxiv.org/abs/2010.08673

Cascade of Phase Transitions for Multi-Scale Clustering. (arXiv:2010.07955v1 [stat.ML]) arxiv.org/abs/2010.07955

Provably Faster Algorithms for Bilevel Optimization and Applications to Meta-Learning. (arXiv:2010.07962v1 [cs.LG]) arxiv.org/abs/2010.07962

Minimax Classification with 0-1 Loss and Performance Guarantees. (arXiv:2010.07964v1 [stat.ML]) arxiv.org/abs/2010.07964

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