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When are Unbiased Monte Carlo Estimators More Preferable than Biased Ones? arxiv.org/abs/2404.01431 .CO .NA .NA

Convergence Guarantees for RMSProp and Adam in Generalized-smooth Non-convex Optimization with Affine Noise Variance arxiv.org/abs/2404.01436 .ML .OC .LG

A group testing based exploration of age-varying factors in chlamydia infections among Iowa residents arxiv.org/abs/2404.01469 .AP .ME

A Multidimensional Fractional Hawkes Process for Multiple Earthquake Mainshock Aftershock Sequences arxiv.org/abs/2404.01478 .AP

FAIRM: Learning invariant representations for algorithmic fairness and domain generalization with minimax optimality arxiv.org/abs/2404.01608 .ML .ME .LG

Supporting Bayesian modelling workflows with iterative filtering for multiverse analysis arxiv.org/abs/2404.01688 .ME .CO

Preventing Model Collapse in Gaussian Process Latent Variable Models arxiv.org/abs/2404.01697 .ML .LG

Reverse stress testing via multivariate modeling with vine copulas arxiv.org/abs/2404.00109 .AP

Verifying the Selected Completely at Random Assumption in Positive-Unlabeled Learning arxiv.org/abs/2404.00145 .ML .LG

Nonparametric Estimation of the Transition Density Function for Diffusion Processes arxiv.org/abs/2404.00157 .ST .TH

Partially-Observable Sequential Change-Point Detection for Autocorrelated Data via Upper Confidence Region arxiv.org/abs/2404.00220 .ML .LG

Robust Learning for Optimal Dynamic Treatment Regimes with Observational Data arxiv.org/abs/2404.00221 .ME .EM .ST .ML .TH

Information divergences and likelihood ratios of Poisson processes and point patterns arxiv.org/abs/2404.00294 .ST .IT .PR .TH .IT

Meta-Learning with Generalized Ridge Regression: High-dimensional Asymptotics, Optimality and Hyper-covariance Estimation arxiv.org/abs/2403.19720 .ST .ML .TH .LG

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