arXiv Statistics @arxiv_stats@qoto.org

Shapley Flow: A Graph-based Approach to Interpreting Model Predictions. (arXiv:2010.14592v1 [cs.LG]) http://arxiv.org/abs/2010.14592

Improving seasonal forecast using probabilistic deep learning. (arXiv:2010.14610v1 [physics.geo-ph]) http://arxiv.org/abs/2010.14610

Discrete-time signatures and randomness in reservoir computing. (arXiv:2010.14615v1 [cs.NE]) http://arxiv.org/abs/2010.14615

A computationally and cognitively plausible model of supervised and unsupervised learning. (arXiv:2010.14618v1 [cs.NE]) http://arxiv.org/abs/2010.14618

Vertex nomination between graphs via spectral embedding and quadratic programming. (arXiv:2010.14622v1 [cs.SI]) http://arxiv.org/abs/2010.14622

Bayesian Variable Selection in Multivariate Nonlinear Regression with Graph Structures. (arXiv:2010.14638v1 [stat.ME]) http://arxiv.org/abs/2010.14638

Temporal Difference Learning as Gradient Splitting. (arXiv:2010.14657v1 [cs.LG]) http://arxiv.org/abs/2010.14657

Interpretable Assessment of Fairness During Model Evaluation. (arXiv:2010.13782v1 [cs.LG]) http://arxiv.org/abs/2010.13782

Local Granger Causality. (arXiv:2010.13833v1 [q-bio.QM]) http://arxiv.org/abs/2010.13833

Q-FIT: The Quantifiable Feature Importance Technique for Explainable Machine Learning. (arXiv:2010.13872v1 [stat.ML]) http://arxiv.org/abs/2010.13872

Modeling Long Cycles. (arXiv:2010.13877v1 [econ.EM]) http://arxiv.org/abs/2010.13877

Nested sampling with plateaus. (arXiv:2010.13884v1 [stat.CO]) http://arxiv.org/abs/2010.13884

Expectile Neural Networks for Genetic Data Analysis of Complex Diseases. (arXiv:2010.13898v1 [stat.AP]) http://arxiv.org/abs/2010.13898

Relative Contrast Estimation and Inference for Treatment Recommendation. (arXiv:2010.13904v1 [stat.ME]) http://arxiv.org/abs/2010.13904

Bayesian Fusion of Data Partitioned Particle Estimates. (arXiv:2010.13921v1 [stat.CO]) http://arxiv.org/abs/2010.13921

Benchmarking Deep Learning Interpretability in Time Series Predictions. (arXiv:2010.13924v1 [cs.LG]) http://arxiv.org/abs/2010.13924

Memorizing without overfitting: Bias, variance, and interpolation in over-parameterized models. (arXiv:2010.13933v1 [stat.ML]) http://arxiv.org/abs/2010.13933

Design of $c$-Optimal Experiments for High dimensional Linear Models. (arXiv:2010.12580v1 [math.ST]) http://arxiv.org/abs/2010.12580

Using machine learning to correct model error in data assimilation and forecast applications. (arXiv:2010.12605v1 [stat.ML]) http://arxiv.org/abs/2010.12605

Counterfactual Representation Learning with Balancing Weights. (arXiv:2010.12618v1 [stat.ML]) http://arxiv.org/abs/2010.12618