Reproducible Workflow. (arXiv:2012.13427v1 [cs.IT]) http://arxiv.org/abs/2012.13427
Identifying Training Stop Point with Noisy Labeled Data. (arXiv:2012.13435v1 [cs.LG]) http://arxiv.org/abs/2012.13435
Gradient-free quantum optimization on NISQ devices. (arXiv:2012.13453v1 [quant-ph]) http://arxiv.org/abs/2012.13453
More Powerful and General Selective Inference for Stepwise Feature Selection using the Homotopy Continuation Approach. (arXiv:2012.13545v1 [stat.ML]) http://arxiv.org/abs/2012.13545
Distributional Ground Truth: Non-Redundant Crowdsourcing Data Quality Control in UI Labeling Tasks. (arXiv:2012.13546v1 [cs.HC]) http://arxiv.org/abs/2012.13546
Using the Naive Bayes as a discriminative classifier. (arXiv:2012.13572v1 [stat.ML]) http://arxiv.org/abs/2012.13572
Robustness, Privacy, and Generalization of Adversarial Training. (arXiv:2012.13573v1 [cs.LG]) http://arxiv.org/abs/2012.13573
Adaptively Solving the Local-Minimum Problem for Deep Neural Networks. (arXiv:2012.13632v1 [cs.LG]) http://arxiv.org/abs/2012.13632
Power Iteration for Tensor PCA. (arXiv:2012.13669v1 [math.ST]) http://arxiv.org/abs/2012.13669
Nonparametric approximation of conditional expectation operators. (arXiv:2012.12917v1 [math.ST]) http://arxiv.org/abs/2012.12917
On Using Classification Datasets to Evaluate Graph Outlier Detection: Peculiar Observations and New Insights. (arXiv:2012.12931v1 [cs.LG]) http://arxiv.org/abs/2012.12931
Bivariate Densities in Bayes Spaces: Orthogonal Decomposition and Spline Representation. (arXiv:2012.12948v1 [math.ST]) http://arxiv.org/abs/2012.12948
The necessity and power of random, under-sampled experiments in biology. (arXiv:2012.12961v1 [q-bio.QM]) http://arxiv.org/abs/2012.12961
Causal Inference Using Linear Time-Varying Filters with Additive Noise. (arXiv:2012.13025v1 [stat.ME]) http://arxiv.org/abs/2012.13025
Quickest Detection over Sensor Networks with Unknown Post-Change Distribution. (arXiv:2012.13027v1 [eess.SP]) http://arxiv.org/abs/2012.13027
Regret Bound Balancing and Elimination for Model Selection in Bandits and RL. (arXiv:2012.13045v1 [cs.LG]) http://arxiv.org/abs/2012.13045
Correlated Wishart Matrices Classification via an Expectation-Maximization Composite Likelihood-Based Algorithm. (arXiv:2012.13075v1 [stat.ME]) http://arxiv.org/abs/2012.13075
High-Dimensional Bayesian Optimization via Tree-Structured Additive Models. (arXiv:2012.13088v1 [stat.ML]) http://arxiv.org/abs/2012.13088
Dependence of variance on covariate design in nonparametric link regression. (arXiv:2012.13106v1 [math.ST]) http://arxiv.org/abs/2012.13106
Evolutionary Variational Optimization of Generative Models. (arXiv:2012.12294v1 [stat.ML]) http://arxiv.org/abs/2012.12294
I post the feed of the arXiv Statistics.
#Statistics #Stats #Mathematics #Math #Maths #Science #arXiv #News #PeerReview