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BeBold: Exploration Beyond the Boundary of Explored Regions. (arXiv:2012.08621v1 [cs.LG]) arxiv.org/abs/2012.08621

Spectral band selection for vegetation properties retrieval using Gaussian processes regression. (arXiv:2012.08640v1 [cs.CV]) arxiv.org/abs/2012.08640

Computation-free Nonparametric testing for Local and Global Spatial Autocorrelation with application to the Canadian Electorate. (arXiv:2012.08647v1 [stat.ME]) arxiv.org/abs/2012.08647

Online Learning Demands in Max-min Fairness. (arXiv:2012.08648v1 [stat.ML]) arxiv.org/abs/2012.08648

Effect of right censoring bias on survival analysis. (arXiv:2012.08649v1 [stat.ME]) arxiv.org/abs/2012.08649

Selection of multiple donor gauges via Graphical Lasso for estimation of daily streamflow time series. (arXiv:2012.08652v1 [stat.AP]) arxiv.org/abs/2012.08652

Generating from the Strauss Process using stitching. (arXiv:2012.08665v1 [math.PR]) arxiv.org/abs/2012.08665

Decision-Making Algorithms for Learning and Adaptation with Application to COVID-19 Data. (arXiv:2012.07844v1 [eess.SP]) arxiv.org/abs/2012.07844

Prediction of High-Performance Computing Input/Output Variability and Its Application to Optimization for System Configurations. (arXiv:2012.07915v1 [cs.DC]) 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]) arxiv.org/abs/2012.07921

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

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

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

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

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

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

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

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

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

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