arXiv Statistics @arxiv_stats@qoto.org

K-NN active learning under local smoothness assumption. (arXiv:2001.06485v1 [cs.LG]) http://arxiv.org/abs/2001.06485

Urban Street Network Analysis in a Computational Notebook. (arXiv:2001.06505v1 [physics.soc-ph]) http://arxiv.org/abs/2001.06505

Trust in AutoML: Exploring Information Needs for Establishing Trust in Automated Machine Learning Systems. (arXiv:2001.06509v1 [cs.LG]) http://arxiv.org/abs/2001.06509

Personality Traits and Drug Consumption. A Story Told by Data. (arXiv:2001.06520v1 [stat.AP]) http://arxiv.org/abs/2001.06520

Multiblock variable influence on orthogonal projections (MB-VIOP) for enhanced interpretation of total, global, local and unique variations in OnPLS models. (arXiv:2001.06530v1 [stat.ME]) http://arxiv.org/abs/2001.06530

Neighborhood Structure Assisted Non-negative Matrix Factorization and its Application in Unsupervised Point Anomaly Detection. (arXiv:2001.06541v1 [cs.LG]) http://arxiv.org/abs/2001.06541

Privacy Amplification of Iterative Algorithms via Contraction Coefficients. (arXiv:2001.06546v1 [cs.IT]) http://arxiv.org/abs/2001.06546

Who voted for a No Deal Brexit? A Composition Model of Great Britains 2019 European Parliamentary Elections. (arXiv:2001.06548v1 [physics.soc-ph]) http://arxiv.org/abs/2001.06548

Counterexamples to "The Blessings of Multiple Causes" by Wang and Blei. (arXiv:2001.06555v1 [stat.ME]) http://arxiv.org/abs/2001.06555

Curriculum Labeling: Self-paced Pseudo-Labeling for Semi-Supervised Learning. (arXiv:2001.06001v1 [cs.LG]) http://arxiv.org/abs/2001.06001

Testing proportional hazards for specified covariates. (arXiv:2001.06002v1 [math.ST]) http://arxiv.org/abs/2001.06002

Nonparametric inference for interventional effects with multiple mediators. (arXiv:2001.06027v1 [stat.ME]) http://arxiv.org/abs/2001.06027

Extracting more from boosted decision trees: A high energy physics case study. (arXiv:2001.06033v1 [stat.ML]) http://arxiv.org/abs/2001.06033

Double score matching estimators of average and quantile treatment effects. (arXiv:2001.06049v1 [stat.ME]) http://arxiv.org/abs/2001.06049

Recovering Network Structure from Aggregated Relational Data using Penalized Regression. (arXiv:2001.06052v1 [econ.EM]) http://arxiv.org/abs/2001.06052

Increasing the robustness of DNNs against image corruptions by playing the Game of Noise. (arXiv:2001.06057v1 [cs.CV]) http://arxiv.org/abs/2001.06057

Understanding the Power of Persistence Pairing via Permutation Test. (arXiv:2001.06058v1 [cs.LG]) http://arxiv.org/abs/2001.06058

Fourier Transform Approach to Machine Learning III: Fourier Classification. (arXiv:2001.06081v1 [cs.LG]) http://arxiv.org/abs/2001.06081

Fairness Measures for Regression via Probabilistic Classification. (arXiv:2001.06089v1 [cs.LG]) http://arxiv.org/abs/2001.06089

Outlier Detection Ensemble with Embedded Feature Selection. (arXiv:2001.05492v1 [cs.LG]) http://arxiv.org/abs/2001.05492