Predict-Then-Optimize
PulseAugur coverage of Predict-Then-Optimize — every cluster mentioning Predict-Then-Optimize across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New research compares predictive vs. generative approaches for contextual decision making
Researchers have explored two primary methods for contextual decision making: predict-then-optimize (PtO) and generate-then-optimize (GtO). PtO focuses on learning the conditional expected objective, while GtO learns co…
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Deep Learning and Operations Research Converge for Decision-Making
A new tutorial paper explores the intersection of deep learning and operations research (OR/MS) for sequential decision-making under uncertainty. It posits that deep learning complements, rather than replaces, tradition…
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New method uses eigenvalue decomposition to improve shortest-path problem solving
Researchers have proposed a new method for solving shortest-path problems that utilizes eigenvalue decomposition to denoise cost observations, offering an alternative to the predict-then-optimize approach. This techniqu…
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New method simulates prediction errors for decision optimization
A new research paper introduces a generalized method for evaluating Predict-Then-Optimize (PTO) methods, extending beyond binary classification to problems with categorical uncertain parameters. The proposed approach co…