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Large Stepsize Gradient Descent for Non-Homogeneous Two-Layer Networks: Margin Improvement and Fast Optimization arxiv.org/abs/2406.08654 .ML .OC .LG

Pruning is Optimal for Learning Sparse Features in High-Dimensions arxiv.org/abs/2406.08658 .ML .LG

Variational Bayes Inference for Spatial Error Models with Missing Data arxiv.org/abs/2406.08685 .ME

Volatility Forecasting Using Similarity-based Parameter Correction and Aggregated Shock Information arxiv.org/abs/2406.08738 .AP .ME

Learning Joint and Individual Structure in Network Data with Covariates arxiv.org/abs/2406.08776 .ME .ML

Improved methods for empirical Bayes multivariate multiple testing and effect size estimation arxiv.org/abs/2406.08784 .ME

surveygenmod2: A SAS macro for estimating complex survey adjusted generalized linear models and Wald-type tests arxiv.org/abs/2406.07651 .ME .CO

Fully Adaptive Regret-Guaranteed Algorithm for Control of Linear Quadratic Systems arxiv.org/abs/2406.07746 .ML .SY .LG .SY

The Exchangeability Assumption for Permutation Tests of Multiple Regression Models: Implications for Statistics and Data Science arxiv.org/abs/2406.07756 .ME

The maximum likelihood type estimator of SDEs with fractional Brownian motion under small noise asymptotics in the rough case arxiv.org/abs/2406.07804 .ST .PR .TH

Bias-Corrected Joint Spectral Embedding for Multilayer Networks with Invariant Subspace: Entrywise Eigenvector Perturbation and Inference arxiv.org/abs/2406.07849 .ST .ML .TH

Bridging multiple worlds: multi-marginal optimal transport for causal partial-identification problem arxiv.org/abs/2406.07868 .ME

Federated Nonparametric Hypothesis Testing with Differential Privacy Constraints: Optimal Rates and Adaptive Tests arxiv.org/abs/2406.06749 .ST .ML .TH .LG

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