arXiv Statistics @arxiv_stats@qoto.org

Universal Online Learning with Unbounded Losses: Memory Is All You Need. (arXiv:2201.08903v1 [stat.ML]) http://arxiv.org/abs/2201.08903

Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and Beyond. (arXiv:2201.08905v1 [cs.LG]) http://arxiv.org/abs/2201.08905

Recurrent Neural Networks with Mixed Hierarchical Structures and EM Algorithm for Natural Language Processing. (arXiv:2201.08919v1 [cs.CL]) http://arxiv.org/abs/2201.08919

Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks. (arXiv:2201.08932v1 [stat.ML]) http://arxiv.org/abs/2201.08932

Estimation and Hypothesis Testing of Strain-Specific Vaccine Efficacy with Missing Strain Types, with Applications to a COVID-19 Vaccine Trial. (arXiv:2201.08946v1 [stat.ME]) http://arxiv.org/abs/2201.08946

The Many Faces of Adversarial Risk. (arXiv:2201.08956v1 [stat.ML]) http://arxiv.org/abs/2201.08956

Fuel consumption elasticities, rebound effect and feebate effectiveness in the Indian and Chinese new car markets. (arXiv:2201.08995v1 [econ.GN]) http://arxiv.org/abs/2201.08995

Sample Size Considerations for Bayesian Multilevel Hidden Markov Models: A Simulation Study on Multivariate Continuous Data with highly overlapping Component Distributions based on Sleep Data. (arXiv:2201.09033v1 [stat.ME]) http://arxiv.org/abs/2201.09033

Parameter estimation for linear parabolic SPDEs in two space dimensions based on high frequency data. (arXiv:2201.09036v1 [math.ST]) http://arxiv.org/abs/2201.09036

Scalable Sampling for Nonsymmetric Determinantal Point Processes. (arXiv:2201.08417v1 [cs.LG]) http://arxiv.org/abs/2201.08417

Noisy linear inverse problems under convex constraints: Exact risk asymptotics in high dimensions. (arXiv:2201.08435v1 [math.ST]) http://arxiv.org/abs/2201.08435

Your Tweets Matter: How Social Media Sentiments Associate with COVID-19 Vaccination Rates in the US. (arXiv:2201.08460v1 [cs.SI]) http://arxiv.org/abs/2201.08460

Least squares estimators for discretely observed stochastic processes driven by small fractional noise. (arXiv:2201.08462v1 [math.ST]) http://arxiv.org/abs/2201.08462

Empirical likelihood method for complete independence test on high dimensional data. (arXiv:2201.08492v1 [math.ST]) http://arxiv.org/abs/2201.08492

Curved factor analysis with the Ellipsoid-Gaussian distribution. (arXiv:2201.08502v1 [stat.ME]) http://arxiv.org/abs/2201.08502

Deep reinforcement learning under signal temporal logic constraints using Lagrangian relaxation. (arXiv:2201.08504v1 [stat.ML]) http://arxiv.org/abs/2201.08504

High-Dimensional Inference over Networks: Linear Convergence and Statistical Guarantees. (arXiv:2201.08507v1 [cs.LG]) http://arxiv.org/abs/2201.08507

Optimal variance-reduced stochastic approximation in Banach spaces. (arXiv:2201.08518v1 [math.ST]) http://arxiv.org/abs/2201.08518

Spatiotemporal Analysis Using Riemannian Composition of Diffusion Operators. (arXiv:2201.08530v1 [stat.ML]) http://arxiv.org/abs/2201.08530

The R package $\texttt{ebmstate}$ for disease progression analysis under empirical Bayes Cox models. (arXiv:2201.07796v1 [stat.CO]) http://arxiv.org/abs/2201.07796