arXiv Statistics @arxiv_stats@qoto.org

Unsupervised and Generic Short-Term Anticipation of Human Body Motions. (arXiv:1912.06688v1 [cs.LG]) http://arxiv.org/abs/1912.06688

Frequentist Consistency of Gaussian Process Regression. (arXiv:1912.06689v1 [stat.ML]) http://arxiv.org/abs/1912.06689

A posteriori Trading-inspired Model-free Time Series Segmentation. (arXiv:1912.06708v1 [stat.ML]) http://arxiv.org/abs/1912.06708

Robustness and sensitivity analyses for stochastic volatility models under uncertain data structure. (arXiv:1912.06709v1 [q-fin.PR]) http://arxiv.org/abs/1912.06709

AutoAIViz: Opening the Blackbox of Automated Artificial Intelligence with Conditional Parallel Coordinates. (arXiv:1912.06723v1 [cs.LG]) http://arxiv.org/abs/1912.06723

On the approximation of rough functions with deep neural networks. (arXiv:1912.06732v1 [math.NA]) http://arxiv.org/abs/1912.06732

Private Federated Learning with Domain Adaptation. (arXiv:1912.06733v1 [cs.LG]) http://arxiv.org/abs/1912.06733

Calibrated model-based evidential clustering using bootstrapping. (arXiv:1912.06137v1 [cs.LG]) http://arxiv.org/abs/1912.06137

ABOUT ML: Annotation and Benchmarking on Understanding and Transparency of Machine Learning Lifecycles. (arXiv:1912.06166v1 [cs.CY]) http://arxiv.org/abs/1912.06166

Training without training data: Improving the generalizability of automated medical abbreviation disambiguation. (arXiv:1912.06174v1 [cs.LG]) http://arxiv.org/abs/1912.06174

Double descent in the condition number. (arXiv:1912.06190v1 [cs.LG]) http://arxiv.org/abs/1912.06190

On Metrics to Assess the Transferability of Machine Learning Models in Non-Intrusive Load Monitoring. (arXiv:1912.06200v1 [cs.LG]) http://arxiv.org/abs/1912.06200

General Information Bottleneck Objectives and their Applications to Machine Learning. (arXiv:1912.06248v1 [cs.LG]) http://arxiv.org/abs/1912.06248

Learning and Optimization with Bayesian Hybrid Models. (arXiv:1912.06269v1 [math.OC]) http://arxiv.org/abs/1912.06269

Meta-Learning Initializations for Image Segmentation. (arXiv:1912.06290v1 [cs.LG]) http://arxiv.org/abs/1912.06290

More Efficient Off-Policy Evaluation through Regularized Targeted Learning. (arXiv:1912.06292v1 [cs.LG]) http://arxiv.org/abs/1912.06292

Assessing effect heterogeneity of a randomized treatment using conditional inference trees. (arXiv:1912.06313v1 [stat.ME]) http://arxiv.org/abs/1912.06313

Encoding Musical Style with Transformer Autoencoders. (arXiv:1912.05537v1 [cs.SD]) http://arxiv.org/abs/1912.05537

Deep One-bit Compressive Autoencoding. (arXiv:1912.05539v1 [cs.LG]) http://arxiv.org/abs/1912.05539

Fundamental Entropic Laws and $\mathcal{L}_p$ Limitations of Feedback Systems: Implications for Machine-Learning-in-the-Loop Control. (arXiv:1912.05541v1 [eess.SY]) http://arxiv.org/abs/1912.05541