arXiv Statistics @arxiv_stats@qoto.org

Inference on the change point in high dimensional time series models via plug in least square. (arXiv:2007.01888v1 [stat.ME]) http://arxiv.org/abs/2007.01888

A Unifying View of Optimism in Episodic Reinforcement Learning. (arXiv:2007.01891v1 [cs.LG]) http://arxiv.org/abs/2007.01891

Examining Redundancy in the Context of Safe Machine Learning. (arXiv:2007.01900v1 [cs.LG]) http://arxiv.org/abs/2007.01900

Model Distillation for Revenue Optimization: Interpretable Personalized Pricing. (arXiv:2007.01903v1 [stat.ML]) http://arxiv.org/abs/2007.01903

The Effect of Class Imbalance on Precision-Recall Curves. (arXiv:2007.01905v1 [cs.LG]) http://arxiv.org/abs/2007.01905

Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity. (arXiv:2007.01919v1 [cs.LG]) http://arxiv.org/abs/2007.01919

Knowledge Distillation Beyond Model Compression. (arXiv:2007.01922v1 [cs.LG]) http://arxiv.org/abs/2007.01922

Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control. (arXiv:2007.01926v1 [cs.LG]) http://arxiv.org/abs/2007.01926

A Coupled Manifold Optimization Framework to Jointly Model the Functional Connectomics and Behavioral Data Spaces. (arXiv:2007.01929v1 [cs.LG]) http://arxiv.org/abs/2007.01929

Debiasing Distributed Second Order Optimization with Surrogate Sketching and Scaled Regularization. (arXiv:2007.01327v1 [cs.LG]) http://arxiv.org/abs/2007.01327

Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes. (arXiv:2007.01332v1 [stat.ML]) http://arxiv.org/abs/2007.01332

Lack of evidence for a substantial rate of templated mutagenesis in B cell diversification. (arXiv:2007.01340v1 [q-bio.PE]) http://arxiv.org/abs/2007.01340

Spectral Methods for Ranking with Scarce Data. (arXiv:2007.01346v1 [cs.LG]) http://arxiv.org/abs/2007.01346

Uncertainty Prediction for Deep Sequential Regression Using Meta Models. (arXiv:2007.01350v1 [cs.LG]) http://arxiv.org/abs/2007.01350

Decoder-free Robustness Disentanglement without (Additional) Supervision. (arXiv:2007.01356v1 [stat.ML]) http://arxiv.org/abs/2007.01356

Efficient computation and analysis of distributional Shapley values. (arXiv:2007.01357v1 [stat.ML]) http://arxiv.org/abs/2007.01357

A New ECDF Two-Sample Test Statistic. (arXiv:2007.01360v1 [stat.ME]) http://arxiv.org/abs/2007.01360

Epidemiology of exposure to mixtures: we cant be casual about causality when using or testing methods. (arXiv:2007.01370v1 [stat.ME]) http://arxiv.org/abs/2007.01370

Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints. (arXiv:2007.01380v1 [cs.AI]) http://arxiv.org/abs/2007.01380

Sliced Iterative Generator. (arXiv:2007.00674v1 [cs.LG]) http://arxiv.org/abs/2007.00674