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cs.LG2024
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization
Qianli Shen, Yezhen Wang, Zhouhao Yang +6
Bi-level optimization (BO) has become a fundamental mathematical framework for addressing hierarchical machine learning problems. As deep learning models continue to grow in size,…
cs.LG2024
Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization
Xu Cai, Jonathan Scarlett
In this paper, we study the problem of estimating the normalizing constant through queries to the black-box function , where belongs to a reproducing ker…