Statistical Inference for Online Decision Making via Stochastic Gradient Descent. (arXiv:2010.07341v1 [stat.ML]) http://arxiv.org/abs/2010.07341
Causal Multi-Level Fairness. (arXiv:2010.07343v1 [cs.LG]) http://arxiv.org/abs/2010.07343
How Close and How Much? Linking Health Outcomes to Built Environment Spatial Distributions. (arXiv:2010.07348v1 [stat.AP]) http://arxiv.org/abs/2010.07348
Probabilistic Time Series Forecasting with Structured Shape and Temporal Diversity. (arXiv:2010.07349v1 [stat.ML]) http://arxiv.org/abs/2010.07349
Exploring the Uncertainty Properties of Neural Networks' Implicit Priors in the Infinite-Width Limit. (arXiv:2010.07355v1 [stat.ML]) http://arxiv.org/abs/2010.07355
Human-interpretable model explainability on high-dimensional data. (arXiv:2010.07384v1 [cs.LG]) http://arxiv.org/abs/2010.07384
Interpretable Machine Learning with an Ensemble of Gradient Boosting Machines. (arXiv:2010.07388v1 [cs.LG]) http://arxiv.org/abs/2010.07388
Explainability for fair machine learning. (arXiv:2010.07389v1 [cs.LG]) http://arxiv.org/abs/2010.07389
Representable Markov Categories and Comparison of Statistical Experiments in Categorical Probability. (arXiv:2010.07416v1 [math.ST]) http://arxiv.org/abs/2010.07416
MatDRAM: A pure-MATLAB Delayed-Rejection Adaptive Metropolis-Hastings Markov Chain Monte Carlo Sampler. (arXiv:2010.04190v1 [physics.data-an]) http://arxiv.org/abs/2010.04190
A Fully Tensorized Recurrent Neural Network. (arXiv:2010.04196v1 [cs.LG]) http://arxiv.org/abs/2010.04196
Affine-Invariant Robust Training. (arXiv:2010.04216v1 [cs.LG]) http://arxiv.org/abs/2010.04216
Adaptive spectral density estimation by model selection under local differential privacy. (arXiv:2010.04218v1 [math.ST]) http://arxiv.org/abs/2010.04218
Nonstationary Reinforcement Learning with Linear Function Approximation. (arXiv:2010.04244v1 [cs.LG]) http://arxiv.org/abs/2010.04244
A Mechanistic Model of Annual Sulfate Concentrations in the United States. (arXiv:2010.04253v1 [stat.ME]) http://arxiv.org/abs/2010.04253
Dissecting Hessian: Understanding Common Structure of Hessian in Neural Networks. (arXiv:2010.04261v1 [cs.LG]) http://arxiv.org/abs/2010.04261
Deep Learning Meets Projective Clustering. (arXiv:2010.04290v1 [cs.LG]) http://arxiv.org/abs/2010.04290
Neural Networks as Functional Classifiers. (arXiv:2010.04305v1 [stat.ML]) http://arxiv.org/abs/2010.04305
Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning. (arXiv:2010.04315v1 [cs.LG]) http://arxiv.org/abs/2010.04315
Ensembling geophysical models with Bayesian Neural Networks. (arXiv:2010.03561v1 [physics.geo-ph]) http://arxiv.org/abs/2010.03561
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