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
S2cGAN: Semi-Supervised Training of Conditional GANs with Fewer Labels. (arXiv:2010.12622v1 [cs.LG]) http://arxiv.org/abs/2010.12622
Nonseparable Symplectic Neural Networks. (arXiv:2010.12636v1 [cs.LG]) http://arxiv.org/abs/2010.12636
Posterior Differential Regularization with f-divergence for Improving Model Robustness. (arXiv:2010.12638v1 [cs.CL]) http://arxiv.org/abs/2010.12638
Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits. (arXiv:2010.12642v1 [cs.LG]) http://arxiv.org/abs/2010.12642
A biologically plausible neural network for Slow Feature Analysis. (arXiv:2010.12644v1 [q-bio.NC]) http://arxiv.org/abs/2010.12644
An Investigation of how Label Smoothing Affects Generalization. (arXiv:2010.12648v1 [cs.LG]) http://arxiv.org/abs/2010.12648
Jensen-Shannon Information Based Characterization of the Generalization Error of Learning Algorithms. (arXiv:2010.12664v1 [cs.IT]) http://arxiv.org/abs/2010.12664
A Differentially Private Text Perturbation Method Using a Regularized Mahalanobis Metric. (arXiv:2010.11947v1 [cs.CL]) http://arxiv.org/abs/2010.11947
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