Markov Chain Convergence Rates from Coupling Constructions. (arXiv:2008.10675v1 [math.PR]) http://arxiv.org/abs/2008.10675
Path Dependent Structural Equation Models. (arXiv:2008.10706v1 [stat.ME]) http://arxiv.org/abs/2008.10706
Torus Probabilistic Principal Component Analysis. (arXiv:2008.10725v1 [stat.AP]) http://arxiv.org/abs/2008.10725
Efficient Detection Of Infected Individuals using Two Stage Testing. (arXiv:2008.10741v1 [stat.ME]) http://arxiv.org/abs/2008.10741
Statistically Significant Pattern Mining with Ordinal Utility. (arXiv:2008.10747v1 [stat.ME]) http://arxiv.org/abs/2008.10747
Channel-Directed Gradients for Optimization of Convolutional Neural Networks. (arXiv:2008.10766v1 [cs.LG]) http://arxiv.org/abs/2008.10766
A Cram\'er-von Mises test of uniformity on the hypersphere. (arXiv:2008.10767v1 [stat.ME]) http://arxiv.org/abs/2008.10767
Variable selection for Gaussian process regression through a sparse projection. (arXiv:2008.10769v1 [cs.LG]) http://arxiv.org/abs/2008.10769
Counterfactual Explanations for Machine Learning on Multivariate Time Series Data. (arXiv:2008.10781v1 [cs.LG]) http://arxiv.org/abs/2008.10781
A Dynamical Central Limit Theorem for Shallow Neural Networks. (arXiv:2008.09623v1 [math.PR]) http://arxiv.org/abs/2008.09623
Optimization of Graph Neural Networks with Natural Gradient Descent. (arXiv:2008.09624v1 [cs.LG]) http://arxiv.org/abs/2008.09624
Low-complexity Architecture for AR(1) Inference. (arXiv:2008.09633v1 [eess.SP]) http://arxiv.org/abs/2008.09633
Privacy Preserving Recalibration under Domain Shift. (arXiv:2008.09643v1 [cs.LG]) http://arxiv.org/abs/2008.09643
Comparison of non-parametric global envelopes. (arXiv:2008.09650v1 [stat.ME]) http://arxiv.org/abs/2008.09650
GraphReach: Locality-Aware Graph Neural Networks using Reachability Estimations. (arXiv:2008.09657v1 [cs.SI]) http://arxiv.org/abs/2008.09657
A Blockchain Transaction Graph based Machine Learning Method for Bitcoin Price Prediction. (arXiv:2008.09667v1 [q-fin.ST]) http://arxiv.org/abs/2008.09667
Spectral independent component analysis with noise modeling for M/EEG source separation. (arXiv:2008.09693v1 [eess.SP]) http://arxiv.org/abs/2008.09693
A Unified Taylor Framework for Revisiting Attribution Methods. (arXiv:2008.09695v1 [stat.ML]) http://arxiv.org/abs/2008.09695
Seasonal-adjustment Based Feature Selection Method for Large-scale Search Engine Logs. (arXiv:2008.09727v1 [cs.LG]) http://arxiv.org/abs/2008.09727
Towards adversarial robustness with 01 loss neural networks. (arXiv:2008.09148v1 [cs.LG]) http://arxiv.org/abs/2008.09148
I post the feed of the arXiv Statistics.
#Statistics #Stats #Mathematics #Math #Maths #Science #arXiv #News #PeerReview