arXiv Statistics @arxiv_stats@qoto.org

Identifiability-Guaranteed Simplex-Structured Post-Nonlinear Mixture Learning via Autoencoder. (arXiv:2106.09070v1 [cs.LG]) http://arxiv.org/abs/2106.09070

Pre-processing with Orthogonal Decompositions for High-dimensional Explanatory Variables. (arXiv:2106.09071v1 [stat.ME]) http://arxiv.org/abs/2106.09071

Maximum likelihood estimation for mechanistic network models. (arXiv:2106.09100v1 [stat.ME]) http://arxiv.org/abs/2106.09100

Scenario Generation of Wind Farm Power for Real-Time System Operation. (arXiv:2106.09105v1 [stat.AP]) http://arxiv.org/abs/2106.09105

An Imprecise SHAP as a Tool for Explaining the Class Probability Distributions under Limited Training Data. (arXiv:2106.09111v1 [cs.LG]) http://arxiv.org/abs/2106.09111

Semiparametric count data regression for self-reported mental health. (arXiv:2106.09114v1 [stat.ME]) http://arxiv.org/abs/2106.09114

Clustering inference in multiple groups. (arXiv:2106.09115v1 [stat.ME]) http://arxiv.org/abs/2106.09115

Binary classification with corrupted labels. (arXiv:2106.09136v1 [math.ST]) http://arxiv.org/abs/2106.09136

Amortized Auto-Tuning: Cost-Efficient Transfer Optimization for Hyperparameter Recommendation. (arXiv:2106.09179v1 [cs.LG]) http://arxiv.org/abs/2106.09179

Multi-sample estimation of centered log-ratio matrix in microbiome studies. (arXiv:2106.08360v1 [stat.ME]) http://arxiv.org/abs/2106.08360

Predicting Unreliable Predictions by Shattering a Neural Network. (arXiv:2106.08365v1 [cs.LG]) http://arxiv.org/abs/2106.08365

Implicit Finite-Horizon Approximation and Efficient Optimal Algorithms for Stochastic Shortest Path. (arXiv:2106.08377v1 [cs.LG]) http://arxiv.org/abs/2106.08377

Learning-based Support Estimation in Sublinear Time. (arXiv:2106.08396v1 [cs.LG]) http://arxiv.org/abs/2106.08396

On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control. (arXiv:2106.08414v1 [cs.LG]) http://arxiv.org/abs/2106.08414

Online Learning with Uncertain Feedback Graphs. (arXiv:2106.08441v1 [cs.LG]) http://arxiv.org/abs/2106.08441

Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nystr\"om Method, and Use of Kernels in Machine Learning: Tutorial and Survey. (arXiv:2106.08443v1 [stat.ML]) http://arxiv.org/abs/2106.08443

Gradient-trained Weights in Wide Neural Networks Align Layerwise to Error-scaled Input Correlations. (arXiv:2106.08453v1 [cs.LG]) http://arxiv.org/abs/2106.08453

Localized Conformal Prediction: A Generalized Inference Framework for Conformal Prediction. (arXiv:2106.08460v1 [math.ST]) http://arxiv.org/abs/2106.08460

Asymptotic Behavior of Common Connections in Sparse Random Networks. (arXiv:2106.08472v1 [math.ST]) http://arxiv.org/abs/2106.08472

A Continuized View on Nesterov Acceleration for Stochastic Gradient Descent and Randomized Gossip. (arXiv:2106.07644v1 [math.OC]) http://arxiv.org/abs/2106.07644