arXiv Statistics @arxiv_stats@qoto.org

Field Label Prediction for Autofill in Web Browsers. (arXiv:1912.08809v1 [cs.HC]) http://arxiv.org/abs/1912.08809

Heteroscedastic Gaussian Process Regression on the Alkenone over Sea Surface Temperatures. (arXiv:1912.08843v1 [stat.AP]) http://arxiv.org/abs/1912.08843

Lower Dimensional Kernels for Video Discriminators. (arXiv:1912.08860v1 [cs.CV]) http://arxiv.org/abs/1912.08860

Accelerating PDE-constrained Inverse Solutions with Deep Learning and Reduced Order Models. (arXiv:1912.08864v1 [physics.comp-ph]) http://arxiv.org/abs/1912.08864

Adversarial VC-dimension and Sample Complexity of Neural Networks. (arXiv:1912.08865v1 [cs.LG]) http://arxiv.org/abs/1912.08865

Continuous Meta-Learning without Tasks. (arXiv:1912.08866v1 [cs.LG]) http://arxiv.org/abs/1912.08866

Topic subject creation using unsupervised learning for topic modeling. (arXiv:1912.08868v1 [cs.LG]) http://arxiv.org/abs/1912.08868

Boltzmann Exploration Expectation-Maximisation. (arXiv:1912.08869v1 [stat.ML]) http://arxiv.org/abs/1912.08869

Estimation of Smooth Functionals in Normal Models: Bias Reduction and Asymptotic Efficiency. (arXiv:1912.08877v1 [math.ST]) http://arxiv.org/abs/1912.08877

srlearn: A Python Library for Gradient-Boosted Statistical Relational Models. (arXiv:1912.08198v1 [cs.LG]) http://arxiv.org/abs/1912.08198

Visualisation of Brain Statistics with R-packages ggseg and ggseg3d. (arXiv:1912.08200v1 [stat.OT]) http://arxiv.org/abs/1912.08200

Extrinsic Kernel Ridge Regression Classifier for Planar Kendall Shape Space. (arXiv:1912.08202v1 [stat.ML]) http://arxiv.org/abs/1912.08202

Randomization empirical processes. (arXiv:1912.08233v1 [math.ST]) http://arxiv.org/abs/1912.08233

Estimating the probability of accidental mark locations on a shoe sole. (arXiv:1912.08272v1 [stat.AP]) http://arxiv.org/abs/1912.08272

Transfer learning in hybrid classical-quantum neural networks. (arXiv:1912.08278v1 [quant-ph]) http://arxiv.org/abs/1912.08278

Cost-Sensitive Feature-Value Acquisition Using Feature Relevance. (arXiv:1912.08281v1 [cs.LG]) http://arxiv.org/abs/1912.08281

On the Bias-Variance Tradeoff: Textbooks Need an Update. (arXiv:1912.08286v1 [cs.LG]) http://arxiv.org/abs/1912.08286

Lower Memory Oblivious (Tensor) Subspace Embeddings with Fewer Random Bits: Modewise Methods for Least Squares. (arXiv:1912.08294v1 [math.NA]) http://arxiv.org/abs/1912.08294

Kernel-Based Ensemble Learning in Python. (arXiv:1912.08311v1 [cs.LG]) http://arxiv.org/abs/1912.08311

R-estimators in GARCH models; asymptotics, applications and bootstrapping. (arXiv:1912.07592v1 [math.ST]) http://arxiv.org/abs/1912.07592