arXiv Statistics @arxiv_stats@qoto.org

Prediction of High-Performance Computing Input/Output Variability and Its Application to Optimization for System Configurations. (arXiv:2012.07915v1 [cs.DC]) http://arxiv.org/abs/2012.07915

Improving living biomass C-stock loss estimates by combining optical satellite, airborne laser scanning, and NFI data. (arXiv:2012.07921v1 [stat.AP]) http://arxiv.org/abs/2012.07921

Template Matching with Ranks. (arXiv:2012.07937v1 [math.ST]) http://arxiv.org/abs/2012.07937

Variable Selection with Second-Generation P-Values. (arXiv:2012.07941v1 [stat.ME]) http://arxiv.org/abs/2012.07941

A case for new neural network smoothness constraints. (arXiv:2012.07969v1 [stat.ML]) http://arxiv.org/abs/2012.07969

NeurIPS 2020 Competition: Predicting Generalization in Deep Learning. (arXiv:2012.07976v1 [cs.LG]) http://arxiv.org/abs/2012.07976

Probabilistic Contrastive Principal Component Analysis. (arXiv:2012.07977v1 [stat.ME]) http://arxiv.org/abs/2012.07977

Physics-Aware Gaussian Processes in Remote Sensing. (arXiv:2012.07986v1 [eess.SP]) http://arxiv.org/abs/2012.07986

Active Learning for Deep Gaussian Process Surrogates. (arXiv:2012.08015v1 [stat.ME]) http://arxiv.org/abs/2012.08015

Non-asymptotic error estimates for the Laplace approximation in Bayesian inverse problems. (arXiv:2012.06603v1 [math.NA]) http://arxiv.org/abs/2012.06603

Avoiding The Double Descent Phenomenon of Random Feature Models Using Hybrid Regularization. (arXiv:2012.06667v1 [cs.LG]) http://arxiv.org/abs/2012.06667

Faster Policy Learning with Continuous-Time Gradients. (arXiv:2012.06684v1 [cs.LG]) http://arxiv.org/abs/2012.06684

Parameter Estimation with Dense and Convolutional Neural Networks Applied to the FitzHugh-Nagumo ODE. (arXiv:2012.06691v1 [stat.ML]) http://arxiv.org/abs/2012.06691

Generating Adversarial Disturbances for Controller Verification. (arXiv:2012.06695v1 [cs.LG]) http://arxiv.org/abs/2012.06695

Transformed-Linear Models for Time Series Extremes. (arXiv:2012.06705v1 [stat.ME]) http://arxiv.org/abs/2012.06705

Zero Inflated Poisson Model with Clustered Regression Coefficients: an Application to Heterogeneity Learning of Field Goal Attempts of Professional Basketball Players. (arXiv:2012.06715v1 [stat.AP]) http://arxiv.org/abs/2012.06715

Learning Consistent Deep Generative Models from Sparse Data via Prediction Constraints. (arXiv:2012.06718v1 [cs.LG]) http://arxiv.org/abs/2012.06718

On Proximal Causal Learning with Many Hidden Confounders. (arXiv:2012.06725v1 [stat.ME]) http://arxiv.org/abs/2012.06725

Outlier-robust sparse/low-rank least-squares regression and robust matrix completion. (arXiv:2012.06750v1 [math.ST]) http://arxiv.org/abs/2012.06750

Synergistic Integration of Optical and Microwave Satellite Data for Crop Yield Estimation. (arXiv:2012.05905v1 [eess.SP]) http://arxiv.org/abs/2012.05905