most citedHigh-dimensional logistic regression with missing data: Imputation, regularization, and universality

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stat.ME2024

Provably Efficient Posterior Sampling for Sparse Linear Regression via Measure Decomposition

Andrea Montanari, Yuchen Wu

We consider the problem of sampling from the posterior distribution of a -dimensional coefficient vector , given linear observations $\boldsymbol{y} = \boldsymbol{…