Wei Sun

According to our database, Wei Sun authored at least 20 papers between 2010 and 2024.

Collaborative distances:

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

2024

PresAIse, A Prescriptive AI Solution for Enterprises.

Wei Sun, Scott McFaddin, Linh Ha Tran, Shivaram Subramanian, Kristjan Greenewald, Yeshi Tenzin, Zack Xue, Youssef Drissi, Markus Ettl

CoRR, 2024

2023

Learning Complementary Policies for Human-AI Teams.

Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Wei Sun, Min Kyung Lee, Matthew Lease

CoRR, 2023

Context-based Pricing for Revenue Optimization with Applications to the Airline Industry.

Markus Ettl, Shivaram Subramanian, Youssef Drissi, Wei Sun

Proceedings of the 56th Hawaii International Conference on System Sciences, 2023

Scalable Optimal Multiway-Split Decision Trees with Constraints.

Shivaram Subramanian, Wei Sun

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Analyzing the Impact of Complaints on Customer Satisfaction in the Travel Industry.

Youssef Drissi, Markus Ettl, Anna Lisa Gentile, Scott McFaddin, Petar Ristoski, Wei Sun

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

Constrained Prescriptive Trees via Column Generation.

Shivaram Subramanian, Wei Sun, Youssef Drissi, Markus Ettl

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

2020

Machine learning based co-creative design framework.

Brian Quanz, Wei Sun, Ajay Deshpande, Dhruv Shah, Jae Eun Park

CoRR, 2020

Fatigue-Aware Bandits for Dependent Click Models.

Junyu Cao, Wei Sun, Zuo-Jun Max Shen, Markus Ettl

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Dynamic Learning with Frequent New Product Launches: A Sequential Multinomial Logit Bandit Problem.

Junyu Cao, Wei Sun

Proceedings of the 36th International Conference on Machine Learning, 2019

Dynamic Learning of Sequential Choice Bandit Problem under Marketing Fatigue.

Junyu Cao, Wei Sun

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Computational Creative Advertisements.

Wei Sun, Ying Li, Anshul Sheopuri, Thales Teixeira

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

2014

Efficiency Analysis of Cournot Competition in Service Industries with Congestion.

Georgia Perakis, Wei Sun

Manag. Sci., 2014

Designing promotions: Consumers' surprise and perception of discounts.

Wei Sun, Pavankumar Murali, Anshul Sheopuri, Yi-Min Chee

IBM J. Res. Dev., 2014

Latent Variable Copula Inference for Bundle Pricing from Retail Transaction Data.

Benjamin Letham, Wei Sun, Anshul Sheopuri

Proceedings of the 31th International Conference on Machine Learning, 2014

2012

Price of anarchy for supply chains with partial positive externalities.

Georgia Perakis, Wei Sun

Oper. Res. Lett., 2012

2010

Loss of coordination in a competitive supply chain with pre-orders and endogenous pricing.

Georgia Perakis, Wei Sun

Proceedings of the Behavioral and Quantitative Game Theory, 2010