arXiv Statistics @arxiv_stats@qoto.org

Parallelising MCMC via Random Forests. (arXiv:1911.09698v1 [stat.CO]) http://arxiv.org/abs/1911.09698

A Unified Framework for Lifelong Learning in Deep Neural Networks. (arXiv:1911.09704v1 [cs.LG]) http://arxiv.org/abs/1911.09704

Local Spectral Clustering of Density Upper Level Sets. (arXiv:1911.09714v1 [math.ST]) http://arxiv.org/abs/1911.09714

Communication-Efficient and Byzantine-Robust Distributed Learning. (arXiv:1911.09721v1 [cs.LG]) http://arxiv.org/abs/1911.09721

EvAn: Neuromorphic Event-based Anomaly Detection. (arXiv:1911.09722v1 [stat.ML]) http://arxiv.org/abs/1911.09722

Information-Theoretic Confidence Bounds for Reinforcement Learning. (arXiv:1911.09724v1 [stat.ML]) http://arxiv.org/abs/1911.09724

Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks. (arXiv:1911.09737v1 [cs.LG]) http://arxiv.org/abs/1911.09737

Controlling False Discovery Rate Using Gaussian Mirrors. (arXiv:1911.09761v1 [stat.ME]) http://arxiv.org/abs/1911.09761

Mixture survival models methodology: an application to cancer immunotherapy assessment in clinical trials. (arXiv:1911.09765v1 [stat.AP]) http://arxiv.org/abs/1911.09765

Iterative Peptide Modeling With Active Learning And Meta-Learning. (arXiv:1911.09103v1 [q-bio.BM]) http://arxiv.org/abs/1911.09103

On Universal Features for High-Dimensional Learning and Inference. (arXiv:1911.09105v1 [cs.LG]) http://arxiv.org/abs/1911.09105

OmniFold: A Method to Simultaneously Unfold All Observables. (arXiv:1911.09107v1 [hep-ph]) http://arxiv.org/abs/1911.09107

A Scrambled Method of Moments. (arXiv:1911.09128v1 [econ.EM]) http://arxiv.org/abs/1911.09128

DPM: A deep learning PDE augmentation method (with application to large-eddy simulation). (arXiv:1911.09145v1 [cs.LG]) http://arxiv.org/abs/1911.09145

Random Fourier Features via Fast Surrogate Leverage Weighted Sampling. (arXiv:1911.09158v1 [cs.LG]) http://arxiv.org/abs/1911.09158

Bayesian optimization with local search. (arXiv:1911.09159v1 [stat.ML]) http://arxiv.org/abs/1911.09159

Deep Active Learning: Unified and Principled Method for Query and Training. (arXiv:1911.09162v1 [cs.LG]) http://arxiv.org/abs/1911.09162

Instrumental Variables: to Strengthen or not to Strengthen?. (arXiv:1911.09171v1 [stat.ME]) http://arxiv.org/abs/1911.09171

Autoregressive Modeling of Forest Dynamics. (arXiv:1911.09182v1 [q-bio.QM]) http://arxiv.org/abs/1911.09182

Examining the impact of data quality and completeness of electronic health records on predictions of patients risks of cardiovascular disease. (arXiv:1911.08504v1 [stat.AP]) http://arxiv.org/abs/1911.08504