arXiv Statistics @arxiv_stats@qoto.org

Harmonic Mean Point Processes: Proportional Rate Error Minimization for Obtundation Prediction. (arXiv:1911.05109v1 [stat.ML]) http://arxiv.org/abs/1911.05109

An Unethical Optimization Principle. (arXiv:1911.05116v1 [q-fin.RM]) http://arxiv.org/abs/1911.05116

Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning. (arXiv:1911.05121v1 [cs.LG]) http://arxiv.org/abs/1911.05121

Robust Fitting for Generalized Additive Models for Location, Scale and Shape. (arXiv:1911.05125v1 [stat.ME]) http://arxiv.org/abs/1911.05125

Causality-based tests to detect the influence of confounders on mobile health diagnostic applications: a comparison with restricted permutations. (arXiv:1911.05139v1 [stat.AP]) http://arxiv.org/abs/1911.05139

Incentivized Exploration for Multi-Armed Bandits under Reward Drift. (arXiv:1911.05142v1 [cs.LG]) http://arxiv.org/abs/1911.05142

Identifying predictive biomarkers of CIMAvaxEGF success in advanced Lung Cancer Patients. (arXiv:1911.05148v1 [stat.AP]) http://arxiv.org/abs/1911.05148

Conductor Galloping Prediction on Imbalanced Datasets: SVM with Smart Sampling. (arXiv:1911.04467v1 [eess.SP]) http://arxiv.org/abs/1911.04467

Making Good on LSTMs Unfulfilled Promise. (arXiv:1911.04489v1 [cs.LG]) http://arxiv.org/abs/1911.04489

Bayesian Prediction of Volleyball Sets Using the Truncated Skellam and the Ordered Multinomial Models. (arXiv:1911.04541v1 [stat.AP]) http://arxiv.org/abs/1911.04541

Geometry-Aware Neural Rendering. (arXiv:1911.04554v1 [cs.CV]) http://arxiv.org/abs/1911.04554

Privacy is What We Care About: Experimental Investigation of Federated Learning on Edge Devices. (arXiv:1911.04559v1 [cs.LG]) http://arxiv.org/abs/1911.04559

A Lattice and Random Intermediate Point Sampling Design for Animal Movement. (arXiv:1911.04561v1 [stat.AP]) http://arxiv.org/abs/1911.04561

Reinforcement-Learning-Based Variational Quantum Circuits Optimization for Combinatorial Problems. (arXiv:1911.04574v1 [cs.LG]) http://arxiv.org/abs/1911.04574

Achieving Differential Privacy in Vertically Partitioned Multiparty Learning. (arXiv:1911.04587v1 [cs.LG]) http://arxiv.org/abs/1911.04587

Evaluating Combinatorial Generalization in Variational Autoencoders. (arXiv:1911.04594v1 [cs.LG]) http://arxiv.org/abs/1911.04594

Adaptive Probabilistic Vehicle Trajectory Prediction Through Physically Feasible Bayesian Recurrent Neural Network. (arXiv:1911.04597v1 [cs.LG]) http://arxiv.org/abs/1911.04597

Optimizing Millions of Hyperparameters by Implicit Differentiation. (arXiv:1911.02590v1 [cs.LG]) http://arxiv.org/abs/1911.02590

Hyper-SAGNN: a self-attention based graph neural network for hypergraphs. (arXiv:1911.02613v1 [cs.LG]) http://arxiv.org/abs/1911.02613

Map Enhanced Route Travel Time Prediction using Deep Neural Networks. (arXiv:1911.02623v1 [cs.LG]) http://arxiv.org/abs/1911.02623