arXiv Statistics @arxiv_stats@qoto.org

Confidence-Budget Matching for Sequential Budgeted Learning. (arXiv:2102.03400v1 [cs.LG]) http://arxiv.org/abs/2102.03400

Robust Principal Component Analysis: A Median of Means Approach. (arXiv:2102.03403v1 [stat.ML]) http://arxiv.org/abs/2102.03403

Cosine Series Representation. (arXiv:2102.03411v1 [stat.CO]) http://arxiv.org/abs/2102.03411

Discrete Max-Linear Bayesian Networks. (arXiv:2102.03426v1 [math.ST]) http://arxiv.org/abs/2102.03426

Advanced Stationary and Non-Stationary Kernel Designs for Domain-Aware Gaussian Processes. (arXiv:2102.03432v1 [stat.ML]) http://arxiv.org/abs/2102.03432

Wasserstein diffusion on graphs with missing attributes. (arXiv:2102.03450v1 [cs.LG]) http://arxiv.org/abs/2102.03450

Multichannel adaptive signal detection: Basic theory and literature review. (arXiv:2102.03474v1 [stat.AP]) http://arxiv.org/abs/2102.03474

Eliciting judgements about dependent quantities of interest: The SHELF extension and copula methods illustrated using an asthma case study. (arXiv:2102.02852v1 [stat.ME]) http://arxiv.org/abs/2102.02852

Inference and model selection in general causal time series with exogenous covariates. (arXiv:2102.02870v1 [math.ST]) http://arxiv.org/abs/2102.02870

Incompletely observed nonparametric factorial designs with repeated measurements: A wild bootstrap approach. (arXiv:2102.02871v1 [stat.ME]) http://arxiv.org/abs/2102.02871

Feedback in Imitation Learning: Confusion on Causality and Covariate Shift. (arXiv:2102.02872v1 [cs.LG]) http://arxiv.org/abs/2102.02872

Nonlinear Independent Component Analysis for Continuous-Time Signals. (arXiv:2102.02876v1 [stat.ML]) http://arxiv.org/abs/2102.02876

Hierarchical Multivariate Directed Acyclic Graph Auto-Regressive (MDAGAR) models for spatial diseases mapping. (arXiv:2102.02911v1 [stat.ME]) http://arxiv.org/abs/2102.02911

Adversarial Training Makes Weight Loss Landscape Sharper in Logistic Regression. (arXiv:2102.02950v1 [stat.ML]) http://arxiv.org/abs/2102.02950

Implicit Regularization of Sub-Gradient Method in Robust Matrix Recovery: Don't be Afraid of Outliers. (arXiv:2102.02969v1 [cs.LG]) http://arxiv.org/abs/2102.02969

Learning While Dissipating Information: Understanding the Generalization Capability of SGLD. (arXiv:2102.02976v1 [stat.ML]) http://arxiv.org/abs/2102.02976

The Fourier Loss Function. (arXiv:2102.02979v1 [stat.ML]) http://arxiv.org/abs/2102.02979

Covariate adjustment in subgroup analyses of randomized clinical trials: A propensity score approach. (arXiv:2102.02285v1 [stat.ME]) http://arxiv.org/abs/2102.02285

Nearest Neighbor-based Importance Weighting. (arXiv:2102.02291v1 [cs.LG]) http://arxiv.org/abs/2102.02291

Variational Bayes survival analysis for unemployment modelling. (arXiv:2102.02295v1 [stat.AP]) http://arxiv.org/abs/2102.02295