Stormwater on the Margins: Influence of Race, Gender, and Education on Willingness to Participate in Stormwater Management. (arXiv:2104.10720v1 [stat.AP]) http://arxiv.org/abs/2104.10720
Deep limits and cut-off phenomena for neural networks. (arXiv:2104.10727v1 [cs.LG]) http://arxiv.org/abs/2104.10727
The Maximal Eigengap Estimator for Acoustic Vector-Sensor Processing. (arXiv:2104.10735v1 [eess.SP]) http://arxiv.org/abs/2104.10735
Automatic model training under restrictive time constraints. (arXiv:2104.10746v1 [stat.ML]) http://arxiv.org/abs/2104.10746
Precision Matrix Estimation under the Horseshoe-like Prior-Penalty Dual. (arXiv:2104.10750v1 [math.ST]) http://arxiv.org/abs/2104.10750
Discovering Classification Rules for Interpretable Learning with Linear Programming. (arXiv:2104.10751v1 [cs.LG]) http://arxiv.org/abs/2104.10751
Skeleton Clustering: Dimension-Free Density-based Clustering. (arXiv:2104.10770v1 [stat.ML]) http://arxiv.org/abs/2104.10770
Designing efficient randomized trials: power and sample size calculation when using semiparametric efficient estimators. (arXiv:2104.10784v1 [stat.ME]) http://arxiv.org/abs/2104.10784
Accurate and fast matrix factorization for low-rank learning. (arXiv:2104.10785v1 [stat.ML]) http://arxiv.org/abs/2104.10785
Outcome-Driven Reinforcement Learning via Variational Inference. (arXiv:2104.10190v1 [cs.LG]) http://arxiv.org/abs/2104.10190
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020. (arXiv:2104.10201v1 [cs.LG]) http://arxiv.org/abs/2104.10201
Constrained Bayesian Hierarchical Models for Gaussian Data: A Model Selection Criterion Approach. (arXiv:2104.10222v1 [stat.ME]) http://arxiv.org/abs/2104.10222
More Than Meets The Eye: Semi-supervised Learning Under Non-IID Data. (arXiv:2104.10223v1 [cs.LG]) http://arxiv.org/abs/2104.10223
Portfolio Selection under Multivariate Merton Model with Correlated Jump Risk. (arXiv:2104.10240v1 [math.ST]) http://arxiv.org/abs/2104.10240
Adjustment for Biased Sampling Using NHANES Derived Propensity Weights. (arXiv:2104.10298v1 [stat.ME]) http://arxiv.org/abs/2104.10298
Conceptualizing experimental controls using the potential outcomes framework. (arXiv:2104.10302v1 [stat.ME]) http://arxiv.org/abs/2104.10302
Automatic Double Machine Learning for Continuous Treatment Effects. (arXiv:2104.10334v1 [econ.EM]) http://arxiv.org/abs/2104.10334
Optimal Bayesian Smoothing of Functional Observations over a Large Graph. (arXiv:2104.10335v1 [stat.ME]) http://arxiv.org/abs/2104.10335
A class of network models recoverable by spectral clustering. (arXiv:2104.10347v1 [stat.ML]) http://arxiv.org/abs/2104.10347
Adaptive Nonparametric Psychophysics. (arXiv:2104.09549v1 [stat.ME]) http://arxiv.org/abs/2104.09549
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