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cs.LG2025
A Minimalist Bayesian Framework for Stochastic Optimization
Kaizheng Wang
The Bayesian paradigm offers principled tools for sequential decision-making under uncertainty, but its reliance on a probabilistic model for all parameters can hinder the incorpor…
cs.LG2022★ 1 cited
Variable Clustering via Distributionally Robust Nodewise Regression
Kaizheng Wang, Xiao Xu, Xun Yu Zhou
We study a multi-factor block model for variable clustering and connect it to regularized subspace clustering through a distributionally robust version of nodewise regression. To s…