arXiv Statistics @arxiv_stats@qoto.org

Minorization-Maximization-based Steepest Ascent for Large-scale Survival Analysis with Time-Varying Effects: Application to the National Kidney Transplant Dataset. (arXiv:1912.12353v1 [stat.CO]) http://arxiv.org/abs/1912.12353

SoftAdapt: Techniques for Adaptive Loss Weighting of Neural Networks with Multi-Part Loss Functions. (arXiv:1912.12355v1 [cs.LG]) http://arxiv.org/abs/1912.12355

Spatial risk estimation in Tweedie compound Poisson double generalized linear models. (arXiv:1912.12356v1 [stat.AP]) http://arxiv.org/abs/1912.12356

Interpreting LSTM Prediction on Solar Flare Eruption with Time-series Clustering. (arXiv:1912.12360v1 [astro-ph.SR]) http://arxiv.org/abs/1912.12360

Towards Deep Federated Defenses Against Malware in Cloud Ecosystems. (arXiv:1912.12370v1 [cs.CR]) http://arxiv.org/abs/1912.12370

Improved Multi-Stage Training of Online Attention-based Encoder-Decoder Models. (arXiv:1912.12384v1 [eess.AS]) http://arxiv.org/abs/1912.12384

A practical guide to pseudo-marginal methods for computational inference in systems biology. (arXiv:1912.12404v1 [q-bio.MN]) http://arxiv.org/abs/1912.12404

OCCER- One-Class Classification by Ensembles of Regression models. (arXiv:1912.11475v1 [cs.LG]) http://arxiv.org/abs/1912.11475

Self-adaption grey DBSCAN clustering. (arXiv:1912.11477v1 [cs.LG]) http://arxiv.org/abs/1912.11477

CProp: Adaptive Learning Rate Scaling from Past Gradient Conformity. (arXiv:1912.11493v1 [cs.LG]) http://arxiv.org/abs/1912.11493

An Analysis of the Expressiveness of Deep Neural Network Architectures Based on Their Lipschitz Constants. (arXiv:1912.11511v1 [cs.LG]) http://arxiv.org/abs/1912.11511

Spatio-Temporal Random Partition Models. (arXiv:1912.11542v1 [stat.ME]) http://arxiv.org/abs/1912.11542

Learning Transferable Features for Speech Emotion Recognition. (arXiv:1912.11547v1 [eess.AS]) http://arxiv.org/abs/1912.11547

A Drug Recommendation System (Dr.S) for cancer cell lines. (arXiv:1912.11548v1 [stat.ML]) http://arxiv.org/abs/1912.11548

Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro. (arXiv:1912.11554v1 [stat.ML]) http://arxiv.org/abs/1912.11554

SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks. (arXiv:1912.11570v1 [cs.CV]) http://arxiv.org/abs/1912.11570

A Study of the Learnability of Relational Properties (Model Counting Meets Machine Learning). (arXiv:1912.11580v1 [cs.LG]) http://arxiv.org/abs/1912.11580

end-to-end training of a large vocabulary end-to-end speech recognition system. (arXiv:1912.11040v1 [eess.AS]) http://arxiv.org/abs/1912.11040

power-law nonlinearity with maximally uniform distribution criterion for improved neural network training in automatic speech recognition. (arXiv:1912.11041v1 [eess.AS]) http://arxiv.org/abs/1912.11041

Risk of estimators for Sobol sensitivity indices based on metamodels. (arXiv:1912.11070v1 [math.ST]) http://arxiv.org/abs/1912.11070