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Solving Fredholm Integral Equations of the First Kind via Wasserstein Gradient Flows. (arXiv:2209.09936v1 [math.OC]) arxiv.org/abs/2209.09936

Learning Acceptance Regions for Many Classes with Anomaly Detection. (arXiv:2209.09963v1 [stat.ML]) arxiv.org/abs/2209.09963

Graphical Inference in Linear-Gaussian State-Space Models. (arXiv:2209.09969v1 [stat.CO]) arxiv.org/abs/2209.09969

The exact probability law for the approximated similarity from the Minhashing method. (arXiv:2209.10031v1 [math.PR]) arxiv.org/abs/2209.10031

Instance-dependent uniform tail bounds for empirical processes. (arXiv:2209.10053v1 [math.PR]) arxiv.org/abs/2209.10053

Mutual Information Learned Classifiers: an Information-theoretic Viewpoint of Training Deep Learning Classification Systems. (arXiv:2209.10058v1 [cs.LG]) arxiv.org/abs/2209.10058

Practical considerations for sandwich variance estimation in two-stage regression settings. (arXiv:2209.10061v1 [stat.ME]) arxiv.org/abs/2209.10061

Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models. (arXiv:2209.10064v1 [stat.ML]) arxiv.org/abs/2209.10064

The Information Criterion GIC of Trend and Seasonal Adjustment Models. (arXiv:2209.10066v1 [stat.ME]) arxiv.org/abs/2209.10066

Deep Double Descent via Smooth Interpolation. (arXiv:2209.10080v1 [cs.LG]) arxiv.org/abs/2209.10080

Fixed-domain asymptotic properties of maximum composite likelihood estimators for max-stable Brown-Resnick random fields. (arXiv:2209.09296v1 [math.ST]) arxiv.org/abs/2209.09296

Stability and Generalization Analysis of Gradient Methods for Shallow Neural Networks. (arXiv:2209.09298v1 [cs.LG]) arxiv.org/abs/2209.09298

Finite- and Large- Sample Inference for Model and Coefficients in High-dimensional Linear Regression with Repro Samples. (arXiv:2209.09299v1 [stat.ME]) arxiv.org/abs/2209.09299

Deep Linear Networks can Benignly Overfit when Shallow Ones Do. (arXiv:2209.09315v1 [cs.LG]) arxiv.org/abs/2209.09315

Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse Selection. (arXiv:2209.09326v1 [cs.LG]) arxiv.org/abs/2209.09326

Physics-Informed Machine Learning of Dynamical Systems for Efficient Bayesian Inference. (arXiv:2209.09349v1 [stat.ML]) arxiv.org/abs/2209.09349

Distributionally robust and generalizable inference. (arXiv:2209.09352v1 [stat.ME]) arxiv.org/abs/2209.09352

A Dynamic Stochastic Block Model for Multi-Layer Networks. (arXiv:2209.09354v1 [stat.ME]) arxiv.org/abs/2209.09354

Analyzing Machine Learning Models for Credit Scoring with Explainable AI and Optimizing Investment Decisions. (arXiv:2209.09362v1 [cs.LG]) arxiv.org/abs/2209.09362

Wasserstein-p Bounds in the Central Limit Theorem under Weak Dependence. (arXiv:2209.09377v1 [math.PR]) arxiv.org/abs/2209.09377

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