arXiv Statistics @arxiv_stats@qoto.org

Smoothed Analysis of Sequential Probability Assignment. (arXiv:2303.04845v1 [cs.LG]) http://arxiv.org/abs/2303.04845

Agnostic PAC Learning of k-juntas Using L2-Polynomial Regression. (arXiv:2303.04859v1 [cs.LG]) http://arxiv.org/abs/2303.04859

Discovering a change point in a time series of organoid networks via the iso-mirror. (arXiv:2303.04871v1 [stat.AP]) http://arxiv.org/abs/2303.04871

Bayesian Causal Forests for Multivariate Outcomes: Application to Irish Data From an International Large Scale Education Assessment. (arXiv:2303.04874v1 [stat.ML]) http://arxiv.org/abs/2303.04874

Rank Intraclass Correlation for Clustered Data. (arXiv:2303.04880v1 [stat.ME]) http://arxiv.org/abs/2303.04880

The shape of the relative frailty variance induced by discrete random effect distributions in univariate and multivariate survival models. (arXiv:2303.04915v1 [stat.ME]) http://arxiv.org/abs/2303.04915

Coloring in R's Blind Spot. (arXiv:2303.04918v1 [stat.CO]) http://arxiv.org/abs/2303.04918

A Survey of Quantum Alternatives to Randomized Algorithms: Monte Carlo Integration and Beyond. (arXiv:2303.04945v1 [quant-ph]) http://arxiv.org/abs/2303.04945

Predicting Elite NBA Lineups Using Individual Player Order Statistics. (arXiv:2303.04963v1 [stat.AP]) http://arxiv.org/abs/2303.04963

Computing with Categories in Machine Learning. (arXiv:2303.04156v1 [cs.LG]) http://arxiv.org/abs/2303.04156

DR-VIDAL -- Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data. (arXiv:2303.04201v1 [cs.LG]) http://arxiv.org/abs/2303.04201

Causal Dependence Plots for Interpretable Machine Learning. (arXiv:2303.04209v1 [cs.LG]) http://arxiv.org/abs/2303.04209

How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding. (arXiv:2303.04245v1 [cs.LG]) http://arxiv.org/abs/2303.04245

Extremes in High Dimensions: Methods and Scalable Algorithms. (arXiv:2303.04258v1 [stat.ME]) http://arxiv.org/abs/2303.04258

Function-measure kernels, self-integrability and uniquely-defined stochastic integrals. (arXiv:2303.04282v1 [math.PR]) http://arxiv.org/abs/2303.04282

Sufficient dimension reduction for feature matrices. (arXiv:2303.04286v1 [stat.ME]) http://arxiv.org/abs/2303.04286

Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models. (arXiv:2303.04288v1 [stat.ML]) http://arxiv.org/abs/2303.04288

Optimal Sparse Recovery with Decision Stumps. (arXiv:2303.04301v1 [stat.ML]) http://arxiv.org/abs/2303.04301

Provable Pathways: Learning Multiple Tasks over Multiple Paths. (arXiv:2303.04338v1 [cs.LG]) http://arxiv.org/abs/2303.04338

Interpretable Architecture Neural Networks for Function Visualization. (arXiv:2303.03393v1 [cs.LG]) http://arxiv.org/abs/2303.03393