arXiv Statistics @arxiv_stats@qoto.org

Modeling Complex Spatial Patterns with Temporal Features via Heterogenous Graph Embedding Networks. (arXiv:2008.08617v1 [cs.LG]) http://arxiv.org/abs/2008.08617

Estimating the time-lapse between medical insurance reimbursement with non-parametric regression models. (arXiv:2008.08624v1 [cs.LG]) http://arxiv.org/abs/2008.08624

SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks. (arXiv:2008.08637v1 [stat.ML]) http://arxiv.org/abs/2008.08637

$\ell_p$-Norm Multiple Kernel One-Class Fisher Null-Space. (arXiv:2008.08642v1 [cs.LG]) http://arxiv.org/abs/2008.08642

Cluster-Adaptive Network A/B Testing: From Randomization to Estimation. (arXiv:2008.08648v1 [stat.ME]) http://arxiv.org/abs/2008.08648

A new role for circuit expansion for learning in neural networks. (arXiv:2008.08653v1 [cond-mat.dis-nn]) http://arxiv.org/abs/2008.08653

Segmenting Bank Customers via RFM Model and Unsupervised Machine Learning. (arXiv:2008.08662v1 [cs.LG]) http://arxiv.org/abs/2008.08662

mlr3proba: Machine Learning Survival Analysis in R. (arXiv:2008.08080v1 [stat.CO]) http://arxiv.org/abs/2008.08080

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