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Towards better traffic volume estimation: Tackling both underdetermined and non-equilibrium problems via a correlation adaptive graph convolution network. (arXiv:2303.05660v1 [stat.ML]) arxiv.org/abs/2303.05660

Clustering with minimum spanning trees: How good can it be?. (arXiv:2303.05679v1 [stat.ML]) arxiv.org/abs/2303.05679

Hierarchical Clustering with OWA-based Linkages, the Lance-Williams Formula, and Dendrogram Inversions. (arXiv:2303.05683v1 [stat.ML]) arxiv.org/abs/2303.05683

Upper Bound of Real Log Canonical Threshold of Tensor Decomposition and its Application to Bayesian Inference. (arXiv:2303.05731v1 [cs.LG]) arxiv.org/abs/2303.05731

Prevalence and major risk factors of non-communicable diseases: A Hospital-based Cross-Sectional Study in Dhaka, Bangladesh. (arXiv:2303.04808v1 [q-bio.QM]) arxiv.org/abs/2303.04808

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

Agnostic PAC Learning of k-juntas Using L2-Polynomial Regression. (arXiv:2303.04859v1 [cs.LG]) 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]) 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]) arxiv.org/abs/2303.04874

Rank Intraclass Correlation for Clustered Data. (arXiv:2303.04880v1 [stat.ME]) 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]) arxiv.org/abs/2303.04915

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

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

Computing with Categories in Machine Learning. (arXiv:2303.04156v1 [cs.LG]) 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]) arxiv.org/abs/2303.04201

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

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

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

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

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