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Max Biggs

2 accepted papers

2022

Enhancing Counterfactual Classification Performance via Self-Training

AAAI 2022technical

Unlike traditional supervised learning, in many settings only partial feedback is available. We may only observe outcomes for the chosen actions, but not the counterfactual outcomes associated with other alternatives. Such settings encompass a wide variety of applications including pricing, online m…

2021

Model Distillation for Revenue Optimization: Interpretable Personalized Pricing

ICML 2021spotlight

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. It is desirable for this pricing policy to be simple and interpretable, so it can be verified, checked for fairness…

Cited by 53SourcePDFScholar