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Debiaser Beware: Pitfalls of Centering Regularized Transport Maps. (arXiv:2202.08919v1 [math.OC]) arxiv.org/abs/2202.08919

"Back to the future" projections for COVID-19 surges. (arXiv:2202.08928v1 [q-bio.PE]) arxiv.org/abs/2202.08928

COVID-19 and Science Communication: The Recording and Reporting of Disease Mortality. (arXiv:2202.08943v1 [stat.AP]) arxiv.org/abs/2202.08943

Private Quantiles Estimation in the Presence of Atoms. (arXiv:2202.08969v1 [stat.ML]) arxiv.org/abs/2202.08969

Fairness constraint in Structural Econometrics and Application to fair estimation using Instrumental Variables. (arXiv:2202.08977v1 [econ.EM]) arxiv.org/abs/2202.08977

KINet: Keypoint Interaction Networks for Unsupervised Forward Modeling. (arXiv:2202.09006v1 [cs.CV]) arxiv.org/abs/2202.09006

On Variance Estimation of Random Forests. (arXiv:2202.09008v1 [stat.ML]) arxiv.org/abs/2202.09008

Efficient Distributed Machine Learning via Combinatorial Multi-Armed Bandits. (arXiv:2202.08302v1 [cs.IT]) arxiv.org/abs/2202.08302

Single Trajectory Nonparametric Learning of Nonlinear Dynamics. (arXiv:2202.08311v1 [cs.LG]) arxiv.org/abs/2202.08311

A flexible approach for causal inference with multiple treatments and clustered survival outcomes. (arXiv:2202.08318v1 [stat.ME]) arxiv.org/abs/2202.08318

Simplified algorithms for adaptive experiment design in parameter estimation. (arXiv:2202.08344v1 [stat.ME]) arxiv.org/abs/2202.08344

Programmable Interface for Statistical & Simulation Models (PRISM): Towards Greater Accessibility of Clinical and Healthcare Decision Models. (arXiv:2202.08358v1 [stat.CO]) arxiv.org/abs/2202.08358

Posterior Predictive Propensity Scores and $p$-Values. (arXiv:2202.08368v1 [stat.ME]) arxiv.org/abs/2202.08368

Limitations of Neural Collapse for Understanding Generalization in Deep Learning. (arXiv:2202.08384v1 [cs.LG]) arxiv.org/abs/2202.08384

High-Dimensional High-Frequency Regression. (arXiv:2202.08419v1 [stat.ME]) arxiv.org/abs/2202.08419

Synthetic Control As Online Linear Regression. (arXiv:2202.08426v1 [econ.EM]) arxiv.org/abs/2202.08426

GIGA-Lens: Fast Bayesian Inference for Strong Gravitational Lens Modeling. (arXiv:2202.07663v1 [astro-ph.IM]) arxiv.org/abs/2202.07663

Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks. (arXiv:2202.07679v1 [stat.ML]) arxiv.org/abs/2202.07679

On the Role of Channel Capacity in Learning Gaussian Mixture Models. (arXiv:2202.07707v1 [cs.IT]) arxiv.org/abs/2202.07707

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