arXiv Statistics @arxiv_stats@qoto.org

A coherent likelihood parametrization for doubly robust estimation of a causal effect with missing confounders. (arXiv:2007.10393v1 [stat.ME]) http://arxiv.org/abs/2007.10393

Translation Between Waves, wave2wave. (arXiv:2007.10394v1 [cs.LG]) http://arxiv.org/abs/2007.10394

Randomized Automatic Differentiation. (arXiv:2007.10412v1 [cs.LG]) http://arxiv.org/abs/2007.10412

Bayesian Few-Shot Classification with One-vs-Each P\'olya-Gamma Augmented Gaussian Processes. (arXiv:2007.10417v1 [cs.LG]) http://arxiv.org/abs/2007.10417

Filtered and Unfiltered Treatment Effects with Targeting Instruments. (arXiv:2007.10432v1 [econ.EM]) http://arxiv.org/abs/2007.10432

Conditional calibration for false discovery rate control under dependence. (arXiv:2007.10438v1 [stat.ME]) http://arxiv.org/abs/2007.10438

PanRep: Universal node embeddings for heterogeneous graphs. (arXiv:2007.10445v1 [cs.LG]) http://arxiv.org/abs/2007.10445

Can we Estimate Truck Accident Risk from Telemetric Data using Machine Learning?. (arXiv:2007.09167v1 [cs.LG]) http://arxiv.org/abs/2007.09167

Network Learning Approaches to study World Happiness. (arXiv:2007.09181v1 [cs.CY]) http://arxiv.org/abs/2007.09181

Neural Networks with Recurrent Generative Feedback. (arXiv:2007.09200v1 [cs.LG]) http://arxiv.org/abs/2007.09200

Asynchronous Federated Learning with Reduced Number of Rounds and with Differential Privacy from Less Aggregated Gaussian Noise. (arXiv:2007.09208v1 [cs.LG]) http://arxiv.org/abs/2007.09208

An Easy-to-Implement Hierarchical Standardization for Variable Selection Under Strong Heredity Constraint. (arXiv:2007.09225v1 [stat.ME]) http://arxiv.org/abs/2007.09225

User-Oriented Multi-Task Federated Deep Learning for Mobile Edge Computing. (arXiv:2007.09236v1 [cs.LG]) http://arxiv.org/abs/2007.09236

A new method for parameter estimation in probabilistic models: Minimum probability flow. (arXiv:2007.09240v1 [cs.LG]) http://arxiv.org/abs/2007.09240

Global estimation of unintended pregnancy and abortion using a Bayesian hierarchical random walk model. (arXiv:2007.09246v1 [stat.AP]) http://arxiv.org/abs/2007.09246

Unsupervised Controllable Generation with Self-Training. (arXiv:2007.09250v1 [cs.LG]) http://arxiv.org/abs/2007.09250

Hierarchical Deep Reinforcement Learning Approach for Multi-Objective Scheduling With Varying Queue Sizes. (arXiv:2007.09256v1 [cs.LG]) http://arxiv.org/abs/2007.09256

Accelerating Robustness Verification of Deep Neural Networks Guided by Target Labels. (arXiv:2007.08520v1 [cs.LG]) http://arxiv.org/abs/2007.08520

Unsupervised Text Generation by Learning from Search. (arXiv:2007.08557v1 [cs.CL]) http://arxiv.org/abs/2007.08557

A Smoothed Analysis of Online Lasso for the Sparse Linear Contextual Bandit Problem. (arXiv:2007.08561v1 [cs.LG]) http://arxiv.org/abs/2007.08561