arXiv Statistics @arxiv_stats@qoto.org

Variable selection with multiply-imputed datasets: choosing between stacked and grouped methods. (arXiv:2003.07398v1 [stat.ME]) http://arxiv.org/abs/2003.07398

Unsupervised machine learning of quantum phase transitions using diffusion maps. (arXiv:2003.07399v1 [quant-ph]) http://arxiv.org/abs/2003.07399

A Bayesian Nonparametric Latent Space Approach to Modeling Evolving Communities in Dynamic Networks. (arXiv:2003.07404v1 [stat.ME]) http://arxiv.org/abs/2003.07404

Neighborhood-based Pooling for Population-level Label Distribution Learning. (arXiv:2003.07406v1 [cs.LG]) http://arxiv.org/abs/2003.07406

Unifying Theorems for Subspace Identification and Dynamic Mode Decomposition. (arXiv:2003.07410v1 [eess.SY]) http://arxiv.org/abs/2003.07410

ActiLabel: A Combinatorial Transfer Learning Framework for Activity Recognition. (arXiv:2003.07415v1 [cs.LG]) http://arxiv.org/abs/2003.07415

Explaining Memorization and Generalization: A Large-Scale Study with Coherent Gradients. (arXiv:2003.07422v1 [cs.LG]) http://arxiv.org/abs/2003.07422

Context-dependent self-exciting point processes: models, methods, and risk bounds in high dimensions. (arXiv:2003.07429v1 [stat.ML]) http://arxiv.org/abs/2003.07429

Learnergy: Energy-based Machine Learners. (arXiv:2003.07443v1 [cs.LG]) http://arxiv.org/abs/2003.07443

Towards a Resilient Machine Learning Classifier -- a Case Study of Ransomware Detection. (arXiv:2003.06428v1 [cs.CR]) http://arxiv.org/abs/2003.06428

Neural Generators of Sparse Local Linear Models for Achieving both Accuracy and Interpretability. (arXiv:2003.06441v1 [cs.LG]) http://arxiv.org/abs/2003.06441

Two-Sample High Dimensional Mean Test Based On Prepivots. (arXiv:2003.06455v1 [stat.ME]) http://arxiv.org/abs/2003.06455

A Persistent Homology Approach to Time Series Classification. (arXiv:2003.06462v1 [stat.ME]) http://arxiv.org/abs/2003.06462

An R Autograder for PrairieLearn. (arXiv:2003.06500v1 [stat.OT]) http://arxiv.org/abs/2003.06500

Ergodic theorems for imprecise probability kinematics. (arXiv:2003.06502v1 [math.ST]) http://arxiv.org/abs/2003.06502

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data. (arXiv:2003.06505v1 [stat.ML]) http://arxiv.org/abs/2003.06505

DriftSurf: A Risk-competitive Learning Algorithm under Concept Drift. (arXiv:2003.06508v1 [cs.LG]) http://arxiv.org/abs/2003.06508

Optimal Resolution of Change-Point Detection with Empirically Observed Statistics and Erasures. (arXiv:2003.06511v1 [cs.IT]) http://arxiv.org/abs/2003.06511

New algorithms and goodness-of-fit diagnostics from remarkable properties of ranking models. (arXiv:2003.06512v1 [stat.ME]) http://arxiv.org/abs/2003.06512

Post-Estimation Smoothing: A Simple Baseline for Learning with Side Information. (arXiv:2003.05955v1 [cs.LG]) http://arxiv.org/abs/2003.05955