arXiv Statistics @arxiv_stats@qoto.org

Multi-objective robust optimization using adaptive surrogate models for problems with mixed continuous-categorical parameters. (arXiv:2203.01996v1 [stat.ME]) http://arxiv.org/abs/2203.01996

On consistency of constrained spectral clustering under representation-aware stochastic block model. (arXiv:2203.02005v1 [stat.ML]) http://arxiv.org/abs/2203.02005

Why adversarial training can hurt robust accuracy. (arXiv:2203.02006v1 [cs.LG]) http://arxiv.org/abs/2203.02006

The starting dates of COVID-19 multiple waves. (arXiv:2203.02011v1 [q-bio.PE]) http://arxiv.org/abs/2203.02011

Interventions, Where and How? Experimental Design for Causal Models at Scale. (arXiv:2203.02016v1 [cs.LG]) http://arxiv.org/abs/2203.02016

Online Balanced Experimental Design. (arXiv:2203.02025v1 [stat.ME]) http://arxiv.org/abs/2203.02025

Symmetry Structured Convolutional Neural Networks. (arXiv:2203.02056v1 [stat.ML]) http://arxiv.org/abs/2203.02056

Interpretable Latent Variables in Deep State Space Models. (arXiv:2203.02057v1 [stat.ML]) http://arxiv.org/abs/2203.02057

Bayesian community detection for networks with covariates. (arXiv:2203.02090v1 [stat.ME]) http://arxiv.org/abs/2203.02090

Neural Galerkin Scheme with Active Learning for High-Dimensional Evolution Equations. (arXiv:2203.01360v1 [math.NA]) http://arxiv.org/abs/2203.01360

Faking feature importance: A cautionary tale on the use of differentially-private synthetic data. (arXiv:2203.01363v1 [cs.LG]) http://arxiv.org/abs/2203.01363

A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems. (arXiv:2203.01387v1 [cs.LG]) http://arxiv.org/abs/2203.01387

Estimating Conditional Average Treatment Effects with Missing Treatment Information. (arXiv:2203.01422v1 [stat.ML]) http://arxiv.org/abs/2203.01422

A Modern Gauss-Markov Theorem? Really?. (arXiv:2203.01425v1 [math.ST]) http://arxiv.org/abs/2203.01425

Fast and accurate approximation to informed Bayes factors for focal parameters. (arXiv:2203.01435v1 [stat.ME]) http://arxiv.org/abs/2203.01435

Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes. (arXiv:2203.01459v1 [cs.LG]) http://arxiv.org/abs/2203.01459

A Correlation Thresholding Algorithm for Learning Factor Analysis Models. (arXiv:2203.01471v1 [stat.ME]) http://arxiv.org/abs/2203.01471

Logarithmic Voronoi Cells for Gaussian Models. (arXiv:2203.01487v1 [math.ST]) http://arxiv.org/abs/2203.01487

Large-scale Optimization of Partial AUC in a Range of False Positive Rates. (arXiv:2203.01505v1 [cs.LG]) http://arxiv.org/abs/2203.01505

Fast Bayesian estimation of brain activation with cortical surface and subcortical fMRI data using EM. (arXiv:2203.00053v1 [stat.ME]) http://arxiv.org/abs/2203.00053