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PNOD: An Efficient Projected Newton Framework for Exact Optimal Experimental Designs
Ling Liang, Haizhao Yang
Computing the exact optimal experimental design has been a longstanding challenge in various scientific fields. This problem, when formulated using a specific information function,…
math.OC2024
Accelerating Multi-Block Constrained Optimization Through Learning to Optimize
Ling Liang, Cameron Austin, Haizhao Yang
Learning to Optimize (L2O) approaches, including algorithm unrolling, plug-and-play methods, and hyperparameter learning, have garnered significant attention and have been successf…