arXiv Statistics @arxiv_stats@qoto.org

EGR: Equivariant Graph Refinement and Assessment of 3D Protein Complex Structures. (arXiv:2205.10390v1 [cs.LG]) http://arxiv.org/abs/2205.10390

A statistical primer on exoplanet detection methods. (arXiv:2205.10417v1 [astro-ph.EP]) http://arxiv.org/abs/2205.10417

Hot-spots Detection in Count Data by Poisson Assisted Smooth Sparse Tensor Decomposition. (arXiv:2205.10447v1 [stat.AP]) http://arxiv.org/abs/2205.10447

Robust Sensible Adversarial Learning of Deep Neural Networks for Image Classification. (arXiv:2205.10457v1 [cs.CV]) http://arxiv.org/abs/2205.10457

Bias-robust Integration of Observational and Experimental Estimators. (arXiv:2205.10467v1 [stat.ME]) http://arxiv.org/abs/2205.10467

Conditional Balance Tests: Increasing Sensitivity and Specificity With Prognostic Covariates. (arXiv:2205.10478v1 [stat.ME]) http://arxiv.org/abs/2205.10478

Multivariate generalized linear mixed models for underdispersed count data. (arXiv:2205.10486v1 [stat.ME]) http://arxiv.org/abs/2205.10486

Mapping Emulation for Knowledge Distillation. (arXiv:2205.10490v1 [cs.LG]) http://arxiv.org/abs/2205.10490

Design-based estimators of distribution function in ranked set sampling with an application. (arXiv:2205.10522v1 [stat.ME]) http://arxiv.org/abs/2205.10522

Causal Discovery and Injection for Feed-Forward Neural Networks. (arXiv:2205.09787v1 [cs.LG]) http://arxiv.org/abs/2205.09787

Smoothness-Penalized Deconvolution (SPeD) of a Density Estimate. (arXiv:2205.09800v1 [math.ST]) http://arxiv.org/abs/2205.09800

Graph Neural Networks Are More Powerful Than we Think. (arXiv:2205.09801v1 [cs.LG]) http://arxiv.org/abs/2205.09801

Calibration Matters: Tackling Maximization Bias in Large-scale Advertising Recommendation Systems. (arXiv:2205.09809v1 [cs.LG]) http://arxiv.org/abs/2205.09809

Deep Learning Methods for Proximal Inference via Maximum Moment Restriction. (arXiv:2205.09824v1 [stat.ML]) http://arxiv.org/abs/2205.09824

Algorithms for Weak Optimal Transport with an Application to Economics. (arXiv:2205.09825v1 [stat.ML]) http://arxiv.org/abs/2205.09825

Why GANs are overkill for NLP. (arXiv:2205.09838v1 [cs.LG]) http://arxiv.org/abs/2205.09838

Latency correction in sparse neuronal spike trains. (arXiv:2205.09855v1 [physics.data-an]) http://arxiv.org/abs/2205.09855

Mean-Field Analysis of Two-Layer Neural Networks: Global Optimality with Linear Convergence Rates. (arXiv:2205.09860v1 [cs.LG]) http://arxiv.org/abs/2205.09860

Prediction for Distributional Outcomes in High-Performance Computing I/O Variability. (arXiv:2205.09879v1 [stat.AP]) http://arxiv.org/abs/2205.09879

Dark Solitons in Bose-Einstein Condensates: A Dataset for Many-body Physics Research. (arXiv:2205.09114v1 [cond-mat.quant-gas]) http://arxiv.org/abs/2205.09114