Wei Sun

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 22

Top Topics

Column Generation

Lagrangean Relaxation

Optimality Criteria

Observational Data

Top Venues

Publications

Asterios Tsiourvas, Wei Sun, Georgia Perakis
Manifold-Aligned Counterfactual Explanations for Neural Networks. AISTATS (2024)
Wei Sun, Scott McFaddin, Linh Ha Tran, Shivaram Subramanian, Kristjan Greenewald, Yeshi Tenzin, Zack Xue, Youssef Drissi, Markus Ettl
PresAIse, An Enterprises Prescriptive AI Solution. CoRR (2024)
Shivaram Subramanian, Wei Sun
Scalable Optimal Multiway-Split Decision Trees with Constraints. CoRR (2023)
Shivaram Subramanian, Wei Sun
Scalable Optimal Multiway-Split Decision Trees with Constraints. AAAI (2023)
Markus Ettl, Shivaram Subramanian, Youssef Drissi, Wei Sun
Context-based Pricing for Revenue Optimization with Applications to the Airline Industry. HICSS (2023)
Ruijiang Gao, Maytal Saar-Tsechansky, Maria De-Arteaga, Ligong Han, Wei Sun, Min Kyung Lee, Matthew Lease
Learning Complementary Policies for Human-AI Teams. CoRR (2023)
Youssef Drissi, Markus Ettl, Anna Lisa Gentile, Scott McFaddin, Petar Ristoski, Wei Sun
Analyzing the Impact of Complaints on Customer Satisfaction in the Travel Industry. HICSS (2022)
Ruijiang Gao, Max Biggs, Wei Sun, Ligong Han
Enhancing Counterfactual Classification Performance via Self-Training. AAAI (2022)
Shivaram Subramanian, Wei Sun, Youssef Drissi, Markus Ettl
Constrained Prescriptive Trees via Column Generation. AAAI (2022)
Shivaram Subramanian, Wei Sun, Youssef Drissi, Markus Ettl
Constrained Prescriptive Trees via Column Generation. CoRR (2022)
Max Biggs, Wei Sun, Markus Ettl
Model Distillation for Revenue Optimization: Interpretable Personalized Pricing. ICML (2021)
Max Biggs, Ruijiang Gao, Wei Sun
Loss Functions for Discrete Contextual Pricing with Observational Data. CoRR (2021)
Ruijiang Gao, Max Biggs, Wei Sun, Ligong Han
Enhancing Counterfactual Classification via Self-Training. CoRR (2021)
Junyu Cao, Wei Sun, Zuo-Jun Max Shen, Markus Ettl
Fatigue-Aware Bandits for Dependent Click Models. AAAI (2020)
Junyu Cao, Wei Sun, Zuo-Jun Shen, Markus Ettl
Fatigue-aware Bandits for Dependent Click Models. CoRR (2020)
Brian Quanz, Wei Sun, Ajay Deshpande, Dhruv Shah, Jae Eun Park
Machine learning based co-creative design framework. CoRR (2020)
Max Biggs, Wei Sun, Markus Ettl
Model Distillation for Revenue Optimization: Interpretable Personalized Pricing. CoRR (2020)
Junyu Cao, Wei Sun
Dynamic Learning with Frequent New Product Launches: A Sequential Multinomial Logit Bandit Problem. CoRR (2019)
Junyu Cao, Wei Sun
Dynamic Learning of Sequential Choice Bandit Problem under Marketing Fatigue. CoRR (2019)
Junyu Cao, Wei Sun
Dynamic Learning of Sequential Choice Bandit Problem under Marketing Fatigue. AAAI (2019)
Junyu Cao, Wei Sun
Dynamic Learning with Frequent New Product Launches: A Sequential Multinomial Logit Bandit Problem. ICML (2019)
Wei Sun, Ying Li, Anshul Sheopuri, Thales Teixeira
Computational Creative Advertisements. WWW (Companion Volume) (2018)
Benjamin Letham, Wei Sun, Anshul Sheopuri
Latent Variable Copula Inference for Bundle Pricing from Retail Transaction Data. ICML (2014)
Wei Sun, Pavankumar Murali, Anshul Sheopuri, Yi-Min Chee
Designing promotions: Consumers' surprise and perception of discounts. IBM J. Res. Dev. 58 (5/6) (2014)
Georgia Perakis, Wei Sun
Efficiency Analysis of Cournot Competition in Service Industries with Congestion. Manag. Sci. 60 (11) (2014)
Georgia Perakis, Wei Sun
Price of anarchy for supply chains with partial positive externalities. Oper. Res. Lett. 40 (2) (2012)
Georgia Perakis, Wei Sun
Loss of coordination in a competitive supply chain with pre-orders and endogenous pricing. BQGT (2010)