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Wasserstein GANs with Gradient Penalty Compute Congested Transport. (arXiv:2109.00528v1 [cs.LG]) arxiv.org/abs/2109.00528

Under-bagging Nearest Neighbors for Imbalanced Classification. (arXiv:2109.00531v1 [stat.ML]) arxiv.org/abs/2109.00531

Physics-integrated hybrid framework for model form error identification in nonlinear dynamical systems. (arXiv:2109.00538v1 [stat.ML]) arxiv.org/abs/2109.00538

Spatially and Robustly Hybrid Mixture Regression Model for Inference of Spatial Dependence. (arXiv:2109.00539v1 [stat.ME]) arxiv.org/abs/2109.00539

Active Inference and Epistemic Value in Graphical Models. (arXiv:2109.00541v1 [stat.ML]) arxiv.org/abs/2109.00541

Information-theoretic Classification Accuracy: A Criterion that Guides Data-driven Combination of Ambiguous Outcome Labels in Multi-class Classification. (arXiv:2109.00582v1 [stat.ML]) arxiv.org/abs/2109.00582

Dash: Semi-Supervised Learning with Dynamic Thresholding. (arXiv:2109.00650v1 [cs.LG]) arxiv.org/abs/2109.00650

Bayesian Detectability of Induced Polarisation in Airborne Electromagnetic Data using Reversible Jump Sequential Monte Carlo. (arXiv:2109.00661v1 [stat.AP]) arxiv.org/abs/2109.00661

Big data, big problems: Responding to "Are we there yet?". (arXiv:2109.00680v1 [stat.AP]) arxiv.org/abs/2109.00680

Half-Space and Box Constraints as NUV Priors: First Results. (arXiv:2109.00036v1 [stat.ML]) arxiv.org/abs/2109.00036

Scalable Spatiotemporally Varying Coefficient Modeling with Bayesian Kernelized Tensor Regression. (arXiv:2109.00046v1 [stat.ML]) arxiv.org/abs/2109.00046

Use of alternative data: High frequency readout of the situation -- COVID policies, mobility, and R-Number. (arXiv:2109.00050v1 [stat.AP]) arxiv.org/abs/2109.00050

Multi Anchor Point Shrinkage for the Sample Covariance Matrix (Extended Version). (arXiv:2109.00148v1 [q-fin.CP]) arxiv.org/abs/2109.00148

Novel Bayesian method for simultaneous detection of activation signatures and background connectivity for task fMRI data. (arXiv:2109.00160v1 [stat.AP]) arxiv.org/abs/2109.00160

A generalized bootstrap procedure of the standard error and confidence interval estimation for inverse probability of treatment weighting. (arXiv:2109.00171v1 [stat.ME]) arxiv.org/abs/2109.00171

FADE: FAir Double Ensemble Learning for Observable and Counterfactual Outcomes. (arXiv:2109.00173v1 [stat.ML]) arxiv.org/abs/2109.00173

A signed power transformation with application to white noise testing. (arXiv:2109.00280v1 [stat.ME]) arxiv.org/abs/2109.00280

Sparse principal component analysis for high-dimensional stationary time series. (arXiv:2109.00299v1 [math.ST]) arxiv.org/abs/2109.00299

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