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High-Dimensional Gaussian Process Regression with Soft Kernel Interpolation arxiv.org/abs/2410.21419 .ML .LG

Bayesian Nonparametric Models for Multiple Raters: a General Statistical Framework arxiv.org/abs/2410.21498 .ME .AP

VISTA-SSM: Varying and Irregular Sampling Time-series Analysis via State Space Models arxiv.org/abs/2410.21527 .AP

Deep Learning Methods for the Noniterative Conditional Expectation G-Formula for Causal Inference from Complex Observational Data arxiv.org/abs/2410.21531 .ML .LG

Enhancing parameter estimation in finite mixture of generalized normal distributions arxiv.org/abs/2410.21559 .ME .AP .CO

Statistical Test for Auto Feature Engineering by Selective Inference arxiv.org/abs/2410.19768 .ML .LG

Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics arxiv.org/abs/2410.19780 .ML .NA .PR .CO .ME .LG .NA

Statistical Inference in Classification of High-dimensional Gaussian Mixture arxiv.org/abs/2410.19950 .ML .LG

Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD arxiv.org/abs/2410.20135 .ML .LG

Deterministic Fokker-Planck Transport -- With Applications to Sampling, Variational Inference, Kernel Mean Embeddings & Sequential Monte Carlo arxiv.org/abs/2410.18993 .ML .NA .ST .ME .TH .LG .NA

Median Based Unit Weibull (MBUW): a new unit distribution Properties arxiv.org/abs/2410.19019 .ME .PR

Enhancing Approximate Modular Bayesian Inference by Emulating the Conditional Posterior arxiv.org/abs/2410.19028 .ME .CO

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