arXiv Statistics @arxiv_stats@qoto.org

Assisted Perception: Optimizing Observations to Communicate State. (arXiv:2008.02840v1 [cs.LG]) http://arxiv.org/abs/2008.02840

Learning Insulin-Glucose Dynamics in the Wild. (arXiv:2008.02852v1 [stat.ML]) http://arxiv.org/abs/2008.02852

Iterative Pre-Conditioning for Expediting the Gradient-Descent Method: The Distributed Linear Least-Squares Problem. (arXiv:2008.02856v1 [math.OC]) http://arxiv.org/abs/2008.02856

Fatigue Assessment using ECG and Actigraphy Sensors. (arXiv:2008.02871v1 [cs.LG]) http://arxiv.org/abs/2008.02871

Stronger and Faster Wasserstein Adversarial Attacks. (arXiv:2008.02883v1 [cs.LG]) http://arxiv.org/abs/2008.02883

Iterative Compression of End-to-End ASR Model using AutoML. (arXiv:2008.02897v1 [cs.LG]) http://arxiv.org/abs/2008.02897

Benign Overfitting and Noisy Features. (arXiv:2008.02901v1 [stat.ML]) http://arxiv.org/abs/2008.02901

Unifying Compactly Supported and Matern Covariance Functions in Spatial Statistics. (arXiv:2008.02904v1 [math.ST]) http://arxiv.org/abs/2008.02904

MCMC Algorithms for Posteriors on Matrix Spaces. (arXiv:2008.02906v1 [stat.CO]) http://arxiv.org/abs/2008.02906

The Athena Class of Risk-Limiting Ballot Polling Audits. (arXiv:2008.02315v1 [cs.CR]) http://arxiv.org/abs/2008.02315

Machine learning for faster and smarter fluorescence lifetime imaging microscopy. (arXiv:2008.02320v1 [eess.IV]) http://arxiv.org/abs/2008.02320

Spatiotemporal dynamic of COVID-19 mortality in the city of Sao Paulo, Brazil: shifting the high risk from the best to the worst socio-economic conditions. (arXiv:2008.02322v1 [stat.AP]) http://arxiv.org/abs/2008.02322

Bayesian Optimization with Machine Learning Algorithms Towards Anomaly Detection. (arXiv:2008.02327v1 [cs.LG]) http://arxiv.org/abs/2008.02327

Bayesian Set of Best Dynamic Treatment Regimes and Sample Size Determination for SMARTs with Binary Outcomes. (arXiv:2008.02341v1 [stat.ME]) http://arxiv.org/abs/2008.02341

Adiabatic Quantum Linear Regression. (arXiv:2008.02355v1 [cs.LG]) http://arxiv.org/abs/2008.02355

Sequential change point test in the presence of outliers. (arXiv:2008.02365v1 [stat.ME]) http://arxiv.org/abs/2008.02365

QUBO Formulations for Training Machine Learning Models. (arXiv:2008.02369v1 [cs.LG]) http://arxiv.org/abs/2008.02369

Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian Processes. (arXiv:2008.02386v1 [stat.ML]) http://arxiv.org/abs/2008.02386

Continuous-in-Depth Neural Networks. (arXiv:2008.02389v1 [cs.LG]) http://arxiv.org/abs/2008.02389

Biconvex Clustering. (arXiv:2008.01760v1 [stat.ME]) http://arxiv.org/abs/2008.01760