The School of Operations Research and Information Engineering is holding a two-day workshop October 14-15, featuring young scholars from different institutions doing exciting work in the broad area of data-driven decision making.
The talks will start at 9:30 a.m. Friday and 9 a.m. Saturday. All presentations will be in 253 Rhodes Hall.
Friday, October 14
Session I • A Miscellany • 9:30 am - 10:30 am
Session I Video
Assortment Optimization Under Consider-then-Choose Choice Models
Ali Aouad, MIT
Portfolio Liquidity Estimation and Optimal Execution
Kai Yuan, Columbia University
Session II • Pricing • 11:00 am - 12:30 pm
Session II Video
Dynamic Pricing in Social Networks: The Word of Mouth Effect
Amir Ajorlou, MIT
Markdown Pricing with Quality Perception and Consumer Optimism: From Experiment to Theory
Rim Hariss, MIT
Dynamic Learning and Pricing with Online Product Reviews
Dongwook Shin, Columbia University
Session III • Matching • 2:00 pm - 3:30 pm
Session III Video
Strategic Stable Marriage
James Bailey, Georgia Tech
Empty-car Routing in Ridesharing Systems
Anton Braverman, Cornell University
Matching while Learning
Vijay Kamble, Stanford University
Session IV • Robust Optimization I • 4:00 pm - 5:00 pm
Session IV Video
Using data-driven DRO to optimally choose regularization parameter in machine learning
Karthyek Murthy, Columbia University
On deterministic reformulations of distributionally robust joint chance constrained optimization problems
Weijun Xie, Georgia Tech
Saturday, October 15
Session V • Learning • 9:00 am - 10:30 am
Session V Video
Learning Combinatorial Structures
Swati Gupta, MIT
Learning Preferences with Side-Information: Near Optimal Recovery of Tensors from Noisy Observations
Andrew Li, MIT
Learning and Pricing using Bundles
Will Ma, MIT
Session VI • Robust Optimization II • 11:00 am - 12:00 pm
Session VI Video
Distributionally Robust Stochastic Optimization with Wasserstein Distance
Rui Gao, Georgia Tech
Statistics of Robust Optimization
Hongseok Namkoong, Stanford University
Miaolan Xie is a Ph.D. candidate in operations research and information engineering at Cornell University, where she is fortunate to be advised by Professor Katya Scheinberg. She obtained her Bachelor... Read more about Handling messy real-world data
In his TEDxCornellUniversity talk “Fairness Through Algorithmic Thinking: Designing Better Congressional Districts and Elections,” David Shmoys discusses optimization tools to create fairer... Read more about Using algorithmic thinking to fight gerrymandering
Sean Sinclair, a Ph.D. student in Cornell Engineering’s School of Operations Research and Information Engineering (ORIE), sees the entire world as a mix of probability and optimization problems.... Read more about Math with a purpose—using probability and statistics for the greater good
