arXiv Statistics @arxiv_stats@qoto.org

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

An Invariant Matching Property for Distribution Generalization under Intervened Response. (arXiv:2205.09162v1 [stat.ME]) http://arxiv.org/abs/2205.09162

Hybrid Machine Learning Modeling of Engineering Systems -- A Probabilistic Perspective Tested on a Multiphase Flow Modeling Case Study. (arXiv:2205.09196v1 [cs.LG]) http://arxiv.org/abs/2205.09196

Power Transformations of Relative Count Data as a Shrinkage Problem. (arXiv:2205.09215v1 [stat.ME]) http://arxiv.org/abs/2205.09215

A Classification of $G$-invariant Shallow Neural Networks. (arXiv:2205.09219v1 [cs.LG]) http://arxiv.org/abs/2205.09219

Constraint-Based Causal Structure Learning from Undersampled Graphs. (arXiv:2205.09235v1 [stat.ML]) http://arxiv.org/abs/2205.09235

Linear prediction of point process times and marks. (arXiv:2205.09238v1 [stat.ME]) http://arxiv.org/abs/2205.09238

Riemannian Metric Learning via Optimal Transport. (arXiv:2205.09244v1 [cs.LG]) http://arxiv.org/abs/2205.09244

Change-point Detection for Sparse and Dense Functional Data in General Dimensions. (arXiv:2205.09252v1 [stat.ME]) http://arxiv.org/abs/2205.09252

A Mutually Exciting Latent Space Hawkes Process Model for Continuous-time Networks. (arXiv:2205.09263v1 [cs.LG]) http://arxiv.org/abs/2205.09263

PROLIFIC: Projection-based Test for Lack of Importance of Smooth Functional Effect in Crossover Design. (arXiv:2205.08577v1 [stat.ME]) http://arxiv.org/abs/2205.08577

Treatment Choice with Nonlinear Regret. (arXiv:2205.08586v1 [econ.EM]) http://arxiv.org/abs/2205.08586

Sampling with replacement vs Poisson sampling: a comparative study in optimal subsampling. (arXiv:2205.08588v1 [math.ST]) http://arxiv.org/abs/2205.08588