arXiv Statistics @arxiv_stats@qoto.org

Principal Component Analysis Based on T$\ell_1$-norm Maximization. (arXiv:2005.12263v1 [cs.LG]) http://arxiv.org/abs/2005.12263

Towards Efficient Scheduling of Federated Mobile Devices under Computational and Statistical Heterogeneity. (arXiv:2005.12326v1 [cs.LG]) http://arxiv.org/abs/2005.12326

Incidental Supervision: Moving beyond Supervised Learning. (arXiv:2005.12339v1 [cs.LG]) http://arxiv.org/abs/2005.12339

Path Imputation Strategies for Signature Models. (arXiv:2005.12359v1 [cs.LG]) http://arxiv.org/abs/2005.12359

Statistically-based methodology for correcting delay-induced errors on the evaluation of COVID-19 pandemic. (arXiv:2005.12376v1 [q-bio.PE]) http://arxiv.org/abs/2005.12376

Do the Machine Learning Models on a Crowd Sourced Platform Exhibit Bias? An Empirical Study on Model Fairness. (arXiv:2005.12379v1 [cs.LG]) http://arxiv.org/abs/2005.12379

Non-IID Graph Neural Networks. (arXiv:2005.12386v1 [cs.LG]) http://arxiv.org/abs/2005.12386

Meta-Reinforcement Learning for Trajectory Design in Wireless UAV Networks. (arXiv:2005.12394v1 [cs.LG]) http://arxiv.org/abs/2005.12394

Fair Policy Targeting. (arXiv:2005.12395v1 [econ.EM]) http://arxiv.org/abs/2005.12395

Robust Matrix Completion with Mixed Data Types. (arXiv:2005.12415v1 [stat.ML]) http://arxiv.org/abs/2005.12415

Microphone Array Based Surveillance Audio Classification. (arXiv:2005.11348v1 [eess.AS]) http://arxiv.org/abs/2005.11348

A Tree Architecture of LSTM Networks for Sequential Regression with Missing Data. (arXiv:2005.11353v1 [cs.LG]) http://arxiv.org/abs/2005.11353

Speaker diarization with session-level speaker embedding refinement using graph neural networks. (arXiv:2005.11371v1 [eess.AS]) http://arxiv.org/abs/2005.11371

Consistency of Empirical Bayes And Kernel Flow For Hierarchical Parameter Estimation. (arXiv:2005.11375v1 [math.ST]) http://arxiv.org/abs/2005.11375

Estimation of cluster functionals for regularly varying time series: sliding blocks estimators. (arXiv:2005.11378v1 [math.ST]) http://arxiv.org/abs/2005.11378

MANGO: A Python Library for Parallel Hyperparameter Tuning. (arXiv:2005.11394v1 [cs.LG]) http://arxiv.org/abs/2005.11394

Instability, Computational Efficiency and Statistical Accuracy. (arXiv:2005.11411v1 [cs.LG]) http://arxiv.org/abs/2005.11411

FedPD: A Federated Learning Framework with Optimal Rates and Adaptivity to Non-IID Data. (arXiv:2005.11418v1 [cs.LG]) http://arxiv.org/abs/2005.11418

Active Learning for Skewed Data Sets. (arXiv:2005.11442v1 [cs.LG]) http://arxiv.org/abs/2005.11442

Most Likely Optimal Subsampled Markov Chain Monte Carlo. (arXiv:2005.11461v1 [stat.ME]) http://arxiv.org/abs/2005.11461