PresAIse, A Prescriptive AI Solution for Enterprises

no code implementations • 3 Feb 2024 • Wei Sun, Scott McFaddin, Linh Ha Tran, Shivaram Subramanian, Kristjan Greenewald, Yeshi Tenzin, Zack Xue, Youssef Drissi, Markus Ettl

The first challenge is caused by the limitations of observational data for accurate causal inference which is typically a prerequisite for good decision-making.

Causal Inference Decision Making

Constrained Prescriptive Trees via Column Generation

no code implementations • 20 Jul 2022 • Shivaram Subramanian, Wei Sun, Youssef Drissi, Markus Ettl

We introduce a novel path-based mixed-integer program (MIP) formulation which identifies a (near) optimal policy efficiently via column generation.

Fatigue-aware Bandits for Dependent Click Models

no code implementations • 22 Aug 2020 • Junyu Cao, Wei Sun, Zuo-Jun, Shen, Markus Ettl

Based on user's feedback, the platform learns the relevance of the underlying content as well as the discounting effect due to content fatigue.

Recommendation Systems

Model Distillation for Revenue Optimization: Interpretable Personalized Pricing

no code implementations • 3 Jul 2020 • Max Biggs, Wei Sun, Markus Ettl

Data-driven pricing strategies are becoming increasingly common, where customers are offered a personalized price based on features that are predictive of their valuation of a product.

BIG-bench Machine Learning Fairness