arXiv Statistics @arxiv_stats@qoto.org

Differentially Private Sketches for Jaccard Similarity Estimation. (arXiv:2008.08134v1 [cs.LG]) http://arxiv.org/abs/2008.08134

Time Series Analysis and Correlation of Subway Turnstile Usage and COVID-19 Prevalence in New York City. (arXiv:2008.08156v1 [physics.soc-ph]) http://arxiv.org/abs/2008.08156

Simultaneous Diagnostic Testing for Linear-Nonlinear Dependence in Time Series. (arXiv:2008.08176v1 [stat.ME]) http://arxiv.org/abs/2008.08176

Scalable Combinatorial Bayesian Optimization with Tractable Statistical models. (arXiv:2008.08177v1 [cs.LG]) http://arxiv.org/abs/2008.08177

Prevalence of Neural Collapse during the terminal phase of deep learning training. (arXiv:2008.08186v1 [cs.LG]) http://arxiv.org/abs/2008.08186

Non-Canonical Hamiltonian Monte Carlo. (arXiv:2008.08191v1 [stat.ML]) http://arxiv.org/abs/2008.08191

Incorporation of frailties into a non-proportional hazard regression model and its diagnostics for reliability modeling of downhole safety valves. (arXiv:2008.08197v1 [stat.AP]) http://arxiv.org/abs/2008.08197

Machine Learning for Reliability Engineering and Safety Applications: Review of Current Status and Future Opportunities. (arXiv:2008.08221v1 [cs.LG]) http://arxiv.org/abs/2008.08221

Long-Term Effect Estimation with Surrogate Representation. (arXiv:2008.08236v1 [stat.AP]) http://arxiv.org/abs/2008.08236

Reinforcement Learning with Quantum Variational Circuits. (arXiv:2008.07524v1 [quant-ph]) http://arxiv.org/abs/2008.07524

A Hierarchical Bayesian SED Model for Type Ia Supernovae in the Optical to Near-Infrared. (arXiv:2008.07538v1 [astro-ph.CO]) http://arxiv.org/abs/2008.07538

Whitening and second order optimization both destroy information about the dataset, and can make generalization impossible. (arXiv:2008.07545v1 [cs.LG]) http://arxiv.org/abs/2008.07545

Joint Variational Autoencoders for Recommendation with Implicit Feedback. (arXiv:2008.07577v1 [cs.LG]) http://arxiv.org/abs/2008.07577

A Rolling Optimized Nonlinear Grey Bernoulli Model RONGBM(1,1) and application in predicting total COVID-19 infected cases. (arXiv:2008.07581v1 [stat.AP]) http://arxiv.org/abs/2008.07581

Stochastic Bayesian Neural Networks. (arXiv:2008.07587v1 [cs.LG]) http://arxiv.org/abs/2008.07587

Uncertainty Quantification using Variational Inference for Biomedical Image Segmentation. (arXiv:2008.07588v1 [eess.IV]) http://arxiv.org/abs/2008.07588

Learning from Irregularly-Sampled Time Series: A Missing Data Perspective. (arXiv:2008.07599v1 [cs.LG]) http://arxiv.org/abs/2008.07599

Optimal Best-Arm Identification Methods for Tail-Risk Measures. (arXiv:2008.07606v1 [cs.LG]) http://arxiv.org/abs/2008.07606

Surveillance of COVID-19 Pandemic using Hidden Markov Model. (arXiv:2008.07609v1 [cs.LG]) http://arxiv.org/abs/2008.07609

Bayesian Auxiliary Variable Model for Birth Records Data with Qualitative and Quantitative Responses. (arXiv:2008.06525v1 [stat.ME]) http://arxiv.org/abs/2008.06525