arXiv Statistics @arxiv_stats@qoto.org

Power Calculations for Replication Studies. (arXiv:2004.10814v1 [stat.ME]) http://arxiv.org/abs/2004.10814

Permutation inference in factorial survival designs with the CASANOVA. (arXiv:2004.10818v1 [stat.ME]) http://arxiv.org/abs/2004.10818

Utterance-level Sequential Modeling For Deep Gaussian Process Based Speech Synthesis Using Simple Recurrent Unit. (arXiv:2004.10823v1 [eess.AS]) http://arxiv.org/abs/2004.10823

Assessing the Reliability of Visual Explanations of Deep Models with Adversarial Perturbations. (arXiv:2004.10824v1 [cs.LG]) http://arxiv.org/abs/2004.10824

TensorOpt: Exploring the Tradeoffs in Distributed DNN Training with Auto-Parallelism. (arXiv:2004.10856v1 [cs.DC]) http://arxiv.org/abs/2004.10856

Adversarial examples and where to find them. (arXiv:2004.10882v1 [cs.LG]) http://arxiv.org/abs/2004.10882

Per-Step Reward: A New Perspective for Risk-Averse Reinforcement Learning. (arXiv:2004.10888v1 [cs.LG]) http://arxiv.org/abs/2004.10888

Imbalanced Sparse Canonical Correlation Analysis. (arXiv:2004.10231v1 [stat.ME]) http://arxiv.org/abs/2004.10231

Neural forecasting: Introduction and literature overview. (arXiv:2004.10240v1 [cs.LG]) http://arxiv.org/abs/2004.10240

The Micro-Randomized Trial for Developing Digital Interventions: Data Analysis Methods. (arXiv:2004.10241v1 [stat.AP]) http://arxiv.org/abs/2004.10241

A class of copulae associated with Brownian motion processes and their maxima. (arXiv:2004.10243v1 [math.ST]) http://arxiv.org/abs/2004.10243

On-the-Fly Joint Feature Selection and Classification. (arXiv:2004.10245v1 [cs.LG]) http://arxiv.org/abs/2004.10245

Certifying Joint Adversarial Robustness for Model Ensembles. (arXiv:2004.10250v1 [cs.LG]) http://arxiv.org/abs/2004.10250

Normalizing Flow Regression. (arXiv:2004.10255v1 [stat.ML]) http://arxiv.org/abs/2004.10255

Stochastic Epidemic Models inference and diagnosis with Poisson Random Measure Data Augmentation. (arXiv:2004.10264v1 [stat.ME]) http://arxiv.org/abs/2004.10264

Decomposed Adversarial Learned Inference. (arXiv:2004.10267v1 [cs.LG]) http://arxiv.org/abs/2004.10267

An Asympirical Smoothing Parameters Selection Approach for Smoothing Spline ANOVA Models in Large Samples. (arXiv:2004.10271v1 [stat.ME]) http://arxiv.org/abs/2004.10271

Revisiting Initialization of Neural Networks. (arXiv:2004.09506v1 [cs.LG]) http://arxiv.org/abs/2004.09506

Adversarial Distortion for Learned Video Compression. (arXiv:2004.09508v1 [eess.IV]) http://arxiv.org/abs/2004.09508

A Benchmark Study on Time Series Clustering. (arXiv:2004.09546v1 [cs.LG]) http://arxiv.org/abs/2004.09546