Loss of coordination in a competitive supply chain with pre-orders and endogenous pricing. - Georgia Perakis; Wei Sun 031 (BQGT, 2010)

Price of anarchy for supply chains with partial positive externalities. - Georgia Perakis; Wei Sun 031 (Oper. Res. Lett., 2012)

Latent Variable Copula Inference for Bundle Pricing from Retail Transaction Data. - Benjamin Letham; Wei Sun 031; Anshul Sheopuri (ICML, 2014)

Designing promotions: Consumers' surprise and perception of discounts. - Wei Sun 031; Pavankumar Murali; Anshul Sheopuri; Yi-Min Chee (IBM J. Res. Dev., 2014)

Efficiency Analysis of Cournot Competition in Service Industries with Congestion. - Georgia Perakis; Wei Sun 031 (Manag. Sci., 2014)

Computational Creative Advertisements. - Wei Sun 031; Ying Li; Anshul Sheopuri; Thales Teixeira (WWW (Companion Volume), 2018)

Dynamic Learning of Sequential Choice Bandit Problem under Marketing Fatigue. - Junyu Cao; Wei Sun 031 (AAAI, 2019)

Dynamic Learning with Frequent New Product Launches: A Sequential Multinomial Logit Bandit Problem. - Junyu Cao; Wei Sun 031 (ICML, 2019)

Fatigue-Aware Bandits for Dependent Click Models. - Junyu Cao; Wei Sun 031; Zuo-Jun Max Shen; Markus Ettl (AAAI, 2020)

Machine learning based co-creative design framework. - Brian Quanz; Wei Sun 031; Ajay Deshpande; Dhruv Shah; Jae Eun Park (CoRR, 2020)

Model Distillation for Revenue Optimization: Interpretable Personalized Pricing. - Max Biggs; Wei Sun 031; Markus Ettl (ICML, 2021)

Loss Functions for Discrete Contextual Pricing with Observational Data. - Max Biggs; Ruijiang Gao; Wei Sun 031 (CoRR, 2021)

Enhancing Counterfactual Classification via Self-Training. - Ruijiang Gao; Max Biggs; Wei Sun 031; Ligong Han (CoRR, 2021)

Enhancing Counterfactual Classification Performance via Self-Training. - Ruijiang Gao; Max Biggs; Wei Sun 031; Ligong Han (AAAI, 2022)

Constrained Prescriptive Trees via Column Generation. - Shivaram Subramanian; Wei Sun 031; Youssef Drissi; Markus Ettl (AAAI, 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 031 (HICSS, 2022)

Scalable Optimal Multiway-Split Decision Trees with Constraints. - Shivaram Subramanian; Wei Sun 031 (AAAI, 2023)

Context-based Pricing for Revenue Optimization with Applications to the Airline Industry. - Markus Ettl; Shivaram Subramanian; Youssef Drissi; Wei Sun 031 (HICSS, 2023)

Learning Complementary Policies for Human-AI Teams. - Ruijiang Gao; Maytal Saar-Tsechansky; Maria De-Arteaga; Ligong Han; Wei Sun 031; Min Kyung Lee; Matthew Lease (CoRR, 2023)

Manifold-Aligned Counterfactual Explanations for Neural Networks. - Asterios Tsiourvas; Wei Sun 031; Georgia Perakis (AISTATS, 2024)

Learning Optimal Projection for Forecast Reconciliation of Hierarchical Time Series. - Asterios Tsiourvas; Wei Sun 031; Georgia Perakis; Pin-Yu Chen; Yada Zhu (ICML, 2024)

PresAIse, A Prescriptive AI Solution for Enterprises. - Wei Sun 031; Scott McFaddin; Linh Ha Tran; Shivaram Subramanian; Kristjan H. Greenewald; Yeshi Tenzin; Zack Xue; Youssef Drissi; Markus Ettl (CoRR, 2024)

Tiered Assortment: Optimization and Online Learning. - Junyu Cao; Wei Sun 031 (Manag. Sci., 2024)

PresAIse, a prescriptive AI solution for enterprise. - Wei Sun 031; Scott McFaddin; Linh Ha Tran; Shivaram Subramanian; Kristjan H. Greenewald; Yeshi Tenzin; Zack Xue; Youssef Drissi; Markus Ettl (INFOR Inf. Syst. Oper. Res., 2024)

Causal LLM Routing: End-to-End Regret Minimization from Observational Data. - Asterios Tsiourvas; Wei Sun 031; Georgia Perakis (CoRR, 2025)