When are Unbiased Monte Carlo Estimators More Preferable than Biased Ones? https://arxiv.org/abs/2404.01431 #stat.CO #math.NA #cs.NA
Convergence Guarantees for RMSProp and Adam in Generalized-smooth Non-convex Optimization with Affine Noise Variance https://arxiv.org/abs/2404.01436 #stat.ML #math.OC #cs.LG
A group testing based exploration of age-varying factors in chlamydia infections among Iowa residents https://arxiv.org/abs/2404.01469 #stat.AP #stat.ME
A Multidimensional Fractional Hawkes Process for Multiple Earthquake Mainshock Aftershock Sequences https://arxiv.org/abs/2404.01478 #stat.AP
Fair MP-BOOST: Fair and Interpretable Minipatch Boosting https://arxiv.org/abs/2404.01521 #stat.ML #cs.LG
Time-Varying Matrix Factor Models https://arxiv.org/abs/2404.01546 #stat.ME
FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality https://arxiv.org/abs/2404.01608 #stat.ML #stat.ME #cs.LG
Supporting Bayesian modelling workflows with iterative filtering for multiverse analysis https://arxiv.org/abs/2404.01688 #stat.ME #stat.CO
Preventing Model Collapse in Gaussian Process Latent Variable Models https://arxiv.org/abs/2404.01697 #stat.ML #cs.LG
Reverse stress testing via multivariate modeling with vine copulas https://arxiv.org/abs/2404.00109 #stat.AP
Verifying the Selected Completely at Random Assumption in Positive-Unlabeled Learning https://arxiv.org/abs/2404.00145 #stat.ML #cs.LG
Nonparametric Estimation of the Transition Density Function for Diffusion Processes https://arxiv.org/abs/2404.00157 #math.ST #stat.TH
Functional-Edged Network Modeling https://arxiv.org/abs/2404.00218 #stat.ML #cs.LG
Partially-Observable Sequential Change-Point Detection for Autocorrelated Data via Upper Confidence Region https://arxiv.org/abs/2404.00220 #stat.ML #cs.LG
Objective Bayesian FDR https://arxiv.org/abs/2404.00256 #stat.ME
Direction Preferring Confidence Intervals https://arxiv.org/abs/2404.00319 #stat.ME #stat.AP
Loss-based prior for tree topologies in BART models https://arxiv.org/abs/2404.00359 #stat.ME #stat.AP
Meta-Learning with Generalized Ridge Regression: High-dimensional Asymptotics, Optimality and Hyper-covariance Estimation https://arxiv.org/abs/2403.19720 #math.ST #stat.ML #stat.TH #cs.LG
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