arXiv Statistics @arxiv_stats@qoto.org

Deep Contextual Embeddings for Address Classification in E-commerce. (arXiv:2007.03020v1 [cs.LG]) http://arxiv.org/abs/2007.03020

Theoretical and Practical Limits of Kolmogorov-Zurbenko Periodograms with DiRienzo-Zurbenko Algorithm Smoothing in the Spectral Analysis of Time Series Data. (arXiv:2007.03031v1 [stat.AP]) http://arxiv.org/abs/2007.03031

Machine Learning with the Sugeno Integral: The Case of Binary Classification. (arXiv:2007.03046v1 [cs.LG]) http://arxiv.org/abs/2007.03046

Metric-Guided Prototype Learning. (arXiv:2007.03047v1 [cs.LG]) http://arxiv.org/abs/2007.03047

Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models. (arXiv:2007.03051v1 [cs.CY]) http://arxiv.org/abs/2007.03051

A Minimum-Risk Dynamic Assignment Mechanism Along with an Approximation, Heuristics, and Extension from Single to Batch Assignments. (arXiv:2007.03069v1 [math.OC]) http://arxiv.org/abs/2007.03069

Deep Partial Updating. (arXiv:2007.03071v1 [cs.LG]) http://arxiv.org/abs/2007.03071

High-recall causal discovery for autocorrelated time series with latent confounders. (arXiv:2007.01884v1 [stat.ME]) http://arxiv.org/abs/2007.01884

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