Max Biggs

According to our database, Max Biggs authored at least 6 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Tightness of prescriptive tree-based mixed-integer optimization formulations.

Max Biggs, Georgia Perakis

CoRR, 2023

2022

Convex Loss Functions for Contextual Pricing with Observational Posted-Price Data.

Max Biggs

CoRR, 2022

Enhancing Counterfactual Classification Performance via Self-Training.

Ruijiang Gao, Max Biggs, Wei Sun, Ligong Han

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Enhancing Counterfactual Classification via Self-Training.

Ruijiang Gao, Max Biggs, Wei Sun, Ligong Han

CoRR, 2021

Loss Functions for Discrete Contextual Pricing with Observational Data.

Max Biggs, Ruijiang Gao, Wei Sun

CoRR, 2021

Model Distillation for Revenue Optimization: Interpretable Personalized Pricing.

Max Biggs, Wei Sun, Markus Ettl

Proceedings of the 38th International Conference on Machine Learning, 2021