arXiv Statistics @arxiv_stats@qoto.org

RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests. (arXiv:2110.03031v1 [cs.LG]) http://arxiv.org/abs/2110.03031

Ensemble Kalman Inversion for General Likelihoods. (arXiv:2110.03034v1 [stat.ME]) http://arxiv.org/abs/2110.03034

A Survey on Evidential Deep Learning For Single-Pass Uncertainty Estimation. (arXiv:2110.03051v1 [cs.LG]) http://arxiv.org/abs/2110.03051

Fast methods for posterior inference of two-group normal-normal models. (arXiv:2110.03055v1 [stat.CO]) http://arxiv.org/abs/2110.03055

A Critical Review of the Baseline Soldier Physical Readiness Requirements Study. (arXiv:2110.03062v1 [stat.AP]) http://arxiv.org/abs/2110.03062

Interpretable Machine Learning for Genomics. (arXiv:2110.03063v1 [stat.AP]) http://arxiv.org/abs/2110.03063

Robust Algorithms for GMM Estimation: A Finite Sample Viewpoint. (arXiv:2110.03070v1 [stat.ML]) http://arxiv.org/abs/2110.03070

Contextual Combinatorial Volatile Bandits via Gaussian Processes. (arXiv:2110.02248v1 [cs.LG]) http://arxiv.org/abs/2110.02248

Adaptive Group Testing with Mismatched Models. (arXiv:2110.02265v1 [stat.ME]) http://arxiv.org/abs/2110.02265

On the Correspondence between Gaussian Processes and Geometric Harmonics. (arXiv:2110.02296v1 [stat.ML]) http://arxiv.org/abs/2110.02296

Approximate Message Passing for orthogonally invariant ensembles: Multivariate non-linearities and spectral initialization. (arXiv:2110.02318v1 [math.ST]) http://arxiv.org/abs/2110.02318

Distcomp: Comparing distributions. (arXiv:2110.02327v1 [stat.CO]) http://arxiv.org/abs/2110.02327

On the Impact of Stable Ranks in Deep Nets. (arXiv:2110.02333v1 [cs.LG]) http://arxiv.org/abs/2110.02333

Moments of Bernoulli Sums. (arXiv:2110.02363v1 [math.PR]) http://arxiv.org/abs/2110.02363

Asymptotic Distributions for Likelihood Ratio Tests for the Equality of Covariance Matrices. (arXiv:2110.02384v1 [math.ST]) http://arxiv.org/abs/2110.02384

Fast and Interpretable Consensus Clustering via Minipatch Learning. (arXiv:2110.02388v1 [stat.ML]) http://arxiv.org/abs/2110.02388

Non-parametric interpretable score based estimation of heterogeneous treatment effects. (arXiv:2110.02401v1 [stat.ME]) http://arxiv.org/abs/2110.02401

Improved architectures and training algorithms for deep operator networks. (arXiv:2110.01654v1 [cs.LG]) http://arxiv.org/abs/2110.01654

Estimating Potential Outcome Distributions with Collaborating Causal Networks. (arXiv:2110.01664v1 [stat.ML]) http://arxiv.org/abs/2110.01664

When can relative risks provide causal estimates?. (arXiv:2110.01688v1 [stat.ME]) http://arxiv.org/abs/2110.01688