arXiv Statistics @arxiv_stats@qoto.org

Learning Deep Neural Networks under Agnostic Corrupted Supervision. (arXiv:2102.06735v1 [cs.LG]) http://arxiv.org/abs/2102.06735

Multivariate Max-Stable Processes and Homogeneous Functionals. (arXiv:2102.06736v1 [math.PR]) http://arxiv.org/abs/2102.06736

Kronecker-factored Quasi-Newton Methods for Convolutional Neural Networks. (arXiv:2102.06737v1 [cs.LG]) http://arxiv.org/abs/2102.06737

"Shaking in 5 seconds!" A Voluntary Smartphone-based Earthquake Early Warning System. (arXiv:2102.06739v1 [physics.geo-ph]) http://arxiv.org/abs/2102.06739

Applicability of Random Matrix Theory in Deep Learning. (arXiv:2102.06740v1 [cs.LG]) http://arxiv.org/abs/2102.06740

The Importance of Being a Band: Finite-Sample Exact Distribution-Free Prediction Sets for Functional Data. (arXiv:2102.06746v1 [stat.ME]) http://arxiv.org/abs/2102.06746

A hybrid variance-reduced method for decentralized stochastic non-convex optimization. (arXiv:2102.06752v1 [math.OC]) http://arxiv.org/abs/2102.06752

Statistical Power for Estimating Treatment Effects Using Difference-in-Differences and Comparative Interrupted Time Series Designs with Variation in Treatment Timing. (arXiv:2102.06770v1 [stat.ME]) http://arxiv.org/abs/2102.06770

A Unified Lottery Ticket Hypothesis for Graph Neural Networks. (arXiv:2102.06790v1 [cs.LG]) http://arxiv.org/abs/2102.06790

Higher Order Generalization Error for First Order Discretization of Langevin Diffusion. (arXiv:2102.06229v1 [stat.ML]) http://arxiv.org/abs/2102.06229

Optimization Issues in KL-Constrained Approximate Policy Iteration. (arXiv:2102.06234v1 [cs.LG]) http://arxiv.org/abs/2102.06234

Regret, stability, and fairness in matching markets with bandit learners. (arXiv:2102.06246v1 [cs.LG]) http://arxiv.org/abs/2102.06246

Sample-Optimal PAC Learning of Halfspaces with Malicious Noise. (arXiv:2102.06247v1 [cs.LG]) http://arxiv.org/abs/2102.06247

Unsupervised Ground Metric Learning using Wasserstein Eigenvectors. (arXiv:2102.06278v1 [stat.ML]) http://arxiv.org/abs/2102.06278

Straggler-Resilient Distributed Machine Learning with Dynamic Backup Workers. (arXiv:2102.06280v1 [cs.LG]) http://arxiv.org/abs/2102.06280

Automated Vehicle Crash Sequences: Patterns and Potential Uses in Safety Testing. (arXiv:2102.06286v1 [stat.AP]) http://arxiv.org/abs/2102.06286

Urn models with random multiple drawing and random addition. (arXiv:2102.06287v1 [math.PR]) http://arxiv.org/abs/2102.06287

Some Hoeffding- and Bernstein-type Concentration Inequalities. (arXiv:2102.06304v1 [math.PR]) http://arxiv.org/abs/2102.06304

Projected Wasserstein gradient descent for high-dimensional Bayesian inference. (arXiv:2102.06350v1 [cs.LG]) http://arxiv.org/abs/2102.06350

Sequential change-point detection for mutually exciting point processes over networks. (arXiv:2102.05724v1 [stat.ML]) http://arxiv.org/abs/2102.05724