arXiv Statistics @arxiv_stats@qoto.org

A sampling criterion for constrained Bayesian optimization with uncertainties. (arXiv:2103.05706v1 [stat.ML]) http://arxiv.org/abs/2103.05706

Non-asymptotic Confidence Intervals of Off-policy Evaluation: Primal and Dual Bounds. (arXiv:2103.05741v1 [cs.LG]) http://arxiv.org/abs/2103.05741

Deep neural network approximation for high-dimensional parabolic Hamilton-Jacobi-Bellman equations. (arXiv:2103.05744v1 [math.NA]) http://arxiv.org/abs/2103.05744

Asymptotic posterior normality of the generalized extreme value distribution. (arXiv:2103.05747v1 [math.ST]) http://arxiv.org/abs/2103.05747

Regret Bounds for Generalized Linear Bandits under Parameter Drift. (arXiv:2103.05750v1 [cs.LG]) http://arxiv.org/abs/2103.05750

Longitudinal Mediation Analysis with Latent Growth Curves. (arXiv:2103.05765v1 [stat.ME]) http://arxiv.org/abs/2103.05765

Interpretable Machines: Constructing Valid Prediction Intervals with Random Forests. (arXiv:2103.05766v1 [stat.ML]) http://arxiv.org/abs/2103.05766

Convergence and Accuracy Trade-Offs in Federated Learning and Meta-Learning. (arXiv:2103.05032v1 [cs.LG]) http://arxiv.org/abs/2103.05032

Nearest Neighbor Search Under Uncertainty. (arXiv:2103.05057v1 [stat.ML]) http://arxiv.org/abs/2103.05057

Bias-Corrected Peaks-Over-Threshold Estimation of the CVaR. (arXiv:2103.05059v1 [stat.ME]) http://arxiv.org/abs/2103.05059

Statistical Neuroscience in the Single Trial Limit. (arXiv:2103.05075v1 [q-bio.NC]) http://arxiv.org/abs/2103.05075

Forest Guided Smoothing. (arXiv:2103.05092v1 [stat.ML]) http://arxiv.org/abs/2103.05092

New Methods for Detecting Concentric Objects With High Accuracy. (arXiv:2103.05104v1 [cs.CV]) http://arxiv.org/abs/2103.05104

Low-Rank Tensor Regression for X-Ray Tomography. (arXiv:2103.05122v1 [stat.AP]) http://arxiv.org/abs/2103.05122

Exact Distribution-Free Hypothesis Tests for the Regression Function of Binary Classification via Conditional Kernel Mean Embeddings. (arXiv:2103.05126v1 [stat.ML]) http://arxiv.org/abs/2103.05126

Constrained Learning with Non-Convex Losses. (arXiv:2103.05134v1 [cs.LG]) http://arxiv.org/abs/2103.05134

On the Oracle Complexity of Higher-Order Smooth Non-Convex Finite-Sum Optimization. (arXiv:2103.05138v1 [math.OC]) http://arxiv.org/abs/2103.05138

Kanerva++: extending The Kanerva Machine with differentiable, locally block allocated latent memory. (arXiv:2103.03905v1 [cs.NE]) http://arxiv.org/abs/2103.03905

Health and Demographic Surveillance Systems and the 2030 Agenda: Sustainable Development Goals. (arXiv:2103.03910v1 [stat.OT]) http://arxiv.org/abs/2103.03910

SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models. (arXiv:2103.03945v1 [cs.LG]) http://arxiv.org/abs/2103.03945