arXiv Statistics @arxiv_stats@qoto.org

Two edge-count tests and relevance analysis in k high-dimensional samples. (arXiv:2107.00728v1 [stat.ME]) http://arxiv.org/abs/2107.00728

Visualizing the geometry of labeled high-dimensional data with spheres. (arXiv:2107.00731v1 [stat.CO]) http://arxiv.org/abs/2107.00731

Nonnegative Matrix Factorization with Group and Basis Restrictions. (arXiv:2107.00744v1 [stat.ME]) http://arxiv.org/abs/2107.00744

q-Paths: Generalizing the Geometric Annealing Path using Power Means. (arXiv:2107.00745v1 [cs.LG]) http://arxiv.org/abs/2107.00745

The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models. (arXiv:2107.00758v1 [cs.LG]) http://arxiv.org/abs/2107.00758

A Flexible Joint Model for Multiple Longitudinal Biomarkers and A Time-to-Event Outcome: With Applications to Dynamic Prediction Using Highly Correlated Biomarkers. (arXiv:2107.00776v1 [stat.ME]) http://arxiv.org/abs/2107.00776

Meta-Learning for Relative Density-Ratio Estimation. (arXiv:2107.00801v1 [stat.ML]) http://arxiv.org/abs/2107.00801

On the distribution of the sum of dependent standard normally distributed random variables using copulas. (arXiv:2107.00007v1 [stat.CO]) http://arxiv.org/abs/2107.00007

Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity. (arXiv:2107.00052v1 [cs.LG]) http://arxiv.org/abs/2107.00052

Which Echo Chamber? Regions of Attraction in Learning with Decision-Dependent Distributions. (arXiv:2107.00055v1 [cs.LG]) http://arxiv.org/abs/2107.00055

Robust Coreset for Continuous-and-Bounded Learning (with Outliers). (arXiv:2107.00068v1 [cs.LG]) http://arxiv.org/abs/2107.00068

Spatial kriging for replicated temporal point processes. (arXiv:2107.00074v1 [stat.ME]) http://arxiv.org/abs/2107.00074

Improving black-box optimization in VAE latent space using decoder uncertainty. (arXiv:2107.00096v1 [cs.LG]) http://arxiv.org/abs/2107.00096

Adaptive Capped Least Squares. (arXiv:2107.00109v1 [stat.ME]) http://arxiv.org/abs/2107.00109

Do we need to estimate the variance in robust mean estimation?. (arXiv:2107.00118v1 [stat.ME]) http://arxiv.org/abs/2107.00118

Assignment-Control Plots: A Visual Companion for Causal Inference Study Design. (arXiv:2107.00122v1 [stat.ME]) http://arxiv.org/abs/2107.00122

The geometry of Gaussian double Markovian distributions. (arXiv:2107.00134v1 [math.ST]) http://arxiv.org/abs/2107.00134

Exponential Weights Algorithms for Selective Learning. (arXiv:2106.15662v1 [cs.LG]) http://arxiv.org/abs/2106.15662

Probabilistic Graphical Models and Tensor Networks: A Hybrid Framework. (arXiv:2106.15666v1 [stat.ML]) http://arxiv.org/abs/2106.15666

Estimating Gaussian mixtures using sparse polynomial moment systems. (arXiv:2106.15675v1 [stat.ME]) http://arxiv.org/abs/2106.15675