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Found 4 papers, 0 papers with code
PresAIse, A Prescriptive AI Solution for Enterprises
The first challenge is caused by the limitations of observational data for accurate causal inference which is typically a prerequisite for good decision-making.
An Optimistic-Robust Approach for Dynamic Positioning of Omnichannel Inventories
Using a real-world dataset from a large American omnichannel retail chain, a business value assessment during a peak period indicates over a 15% profitability gain for BIO over RO and other baselines while also preserving the (practical) worst case performance.
Scalable Optimal Multiway-Split Decision Trees with Constraints
However, existing MIP methods that build on an arc-based formulation do not scale well as the number of binary variables is in the order of $\mathcal{O}(2^dN)$, where $d$ and $N$ refer to the depth of the tree and the size of the dataset.
Constrained Prescriptive Trees via Column Generation
We introduce a novel path-based mixed-integer program (MIP) formulation which identifies a (near) optimal policy efficiently via column generation.
