On the Structure of Cardinality-Constrained Assortment Optimization
Louis Chen, David Simchi-Levi. (2017). "On the Structure of Cardinality-Constrained Assortment Optimization."
CV
Education
- Ph.D in Operations Research, MIT, 2019
- B.A. in Computational and Applied Mathematics, Rice University, 2012
- B.S. in Mechanical Engineering, Rice University, 2012
Work experience
- Summer 2018: Research Intern
- Machine Intelligence Technology group of Alibaba’s DAMO
- Duties included: 1.) Distributionally Robust Analysis and Design of cloud scheduling, 2.) Distributionally Robust Algorithm design for HEMA’s omni-channel inventory replenishment system
- Summer 2017: Visiting Research Scholar
- Singapore University of Technology and Design
- Duties included: Research on Distributionally Robust Optimization with Marginals.
- Supervisor: Professor Karthik Natarajan
- Fall, Spring 2014-18: Research Assistant
- MIT
- Duties included: (Thesis Research) Robust Optimization in Operations/Revenue Management
- Supervisor: Professor David Simchi-Levi
- Fall 2013 - Spring 2014: Research Assistant
- MIT
- Duties included: FDA - sponsored study of Food and Drug Supply Chain Vulnerabilities
- Supervisor: Professor Retsef Levi
- Fall 2012 - Spring 2013: Research Assistant
- MIT
- Duties included: Simulation-Based Optimization
- Supervisor: Professor Carolina Osorio
Other Professional Activities
- Journal Reviewer: Operations Research, Management Science, Mathematics of Operations Research, IEEE, Journal of Convex Analysis, SIAM Optimization
- Sub-Reviewer for WINE 2019: The 15th Conference on Web and Internet Economics
- Sub-Reviewer for European Symposium on Algorithms (2019)
- Referee for Sloan Sports Analytics Conference (2015-2022)
- Invited Attendee in both the Doctoral Student and Teaching Effectiveness Colloquia, INFORMS Annual Meeting, 2018
Skills
- Programming
- C/C++, Java, Python, MATLAB, Julia, R, LATEX
Publications
Distributionally Robust Max Flows with Marginals
Louis Chen, Will Ma, James Orlin, David Simchi-Levi. (2020). "Distributionally Robust Max Flows with Marginals." SOSA 2020. 1(2).
Correlation Robust Influence Maximization
Louis Chen, Divya Padmanabhan, Chee Chin Lim, Karthik Natarajan (2020). " Correlation Robust Influence Maximization." .
Distributionally Robust Linear and Discrete Optimization with Marginals
Louis Chen, Will Ma, Karthik Natarajan, David Simchi-Levi, Zhenzhen Yan. (2021). "Distributionally Robust Linear and Discrete Optimization with Marginals." Operations Research.
Robustness to Dependency in Influence Maximization
Louis Chen, Chee Chin Lim, Divya Padmanabhan, Karthik Natarajan (2024). "Robustness to Dependency in Influence Maximization." .
Rockafellian Relaxation and Stochastic Optimization under Perturbations
Johannes Royset, Louis Chen, Eric Eckstrand (2024). "Rockafellian Relaxation and Stochastic Optimization under Perturbations."
On the Adversarial Robustness of Benjamini Hochberg
Louis Chen, Roberto Szechtman, Matan Seri (2024). "On the Adversarial Robustness of Benjamini Hochberg."
Talks
On the Structure of Cardinality Constrained Assortment Optimization
Talk at Informs Annual Meeting (2016), Nashville, Tennessee
Revisiting the Marginal Distribution Model: Extensions and Generalizations.
Talk at National University of Singapore, Singapore
Revisiting the Marginal Distribution Model: Extensions and Generalizations
Talk at Informs Annual Meeting (2017), Houston, Texas
Distributionally Robust Linear and Discrete Optimization with Marginals
Talk at 23rd International Symposium on Mathematical Programming, Bordeaux, France
Distributionally Robust Max Flow
Talk at INFORMS Annual Meeting (2018), Phoenix, Arizona
Distributionally Robust Optimal Omnichannel Stocking Decisions in Quick Fulfilment Systems
Talk at Manufacturing and Service Operations Management Conference (2019), Singapore
Correlation Robust Influence Maximization
Talk at NEURIPS 2020, Online
Distributionally Robust Influence Maximization
Talk at IFORS 2021, Online
Rockafellian Relaxations
Talk at Informs Optimization Society Conference, Greenville, South Carolina
Rockafellian Relaxation in Optimization under Uncertainty: Asymptotically Exact Formulations
Talk at International Conference on Continuous Optimization 2022, Lehigh University- Bethleham, PA
Product Recommendation and Robust Influence Maximization
Talk at Seminar at Singapore Management University 2022, Singapore
Rockafellian Relaxation in Optimization under Uncertainty: Asymptotically Exact Formulations
Talk at INFORMS Annual Meeting, Indianapolis 2022, Indianapolis, IN
Optimistic-Pessimistic Duality
Talk at International Conference on Stochastic Programming, UC Davis 2023, Davis, CA
Robust Network Influence
Talk at Seminar at National Cheng Kung University, 2023, Taichung, Taiwan
On the Adversarial Robustness of Benjamini Hochberg
Talk at Informs Optimization Society Conference, 2024, Houston, Texas
On the Adversarial Robustness of Benjamini Hochberg
Talk at Informs Analytics Conference, 2024, Orlando, FL
On the Adversarial Robustness of Benjamini Hochberg
Talk at International Symposium on Math Programming, 2024, Montreal, Canada