Young Researchers Workshop

Friday, October 13, 2017 at 9:30am to 5:00pm

Frank H. T. Rhodes Hall, 571 & 253

The School of Operations Research and Information Engineering is holding a two-day workshop October 13-14, 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.

 

Friday, October 13

Session I • Learning • 9:30 am - 11:00 am
Dynamic Learning in the MNL-Bandit
Vashist Avadhanula, Columbia

Learning to Price with Reference Effects
Abbas Kazerouni, Stanford

Finite fuel follower problem: the stochastic games and mean field game
Renyuan Xu, Berkeley


Session II • Applications • 11:30 am - 12:30 pm
Analyzing Approaches to the Backlog of Untested Sexual Assault Kits in the U.S.
Can Wang, Stanford

Pricing and Optimization in Shared Vehicle Systems: An Approximation Framework
Daniel Freund, Cornell

Session III • Algorithms for Continuous Optimization • 2:00 pm - 3:30 pm
A Dynamical View of Optimization Algorithms
Ashia Wilson, Berkeley

An optimal randomized incremental gradient method
Yi Zhou, Georgia Tech

Fast Fourier Linear Programming
Elahe Naghib, Princeton

Session IV • Polynomial Optimization • 4:00 pm - 5:00 pm
On the local stability of semidefinite relaxations
Diego Cifuentes, MIT

Nonnegative polynomials, nonconvex polynomial optimization, and applications to learning
Georgina Hall, Princeton

 

Saturday, October 14

Session V • Integer Programming • 9:00 am - 10:30 am
Advanced mixed-integer formulations: Methodology, computation, and application
Joey Huchette, MIT

Approximation of Minimal Functions by Extreme Functions within Gomory-Johnson’s cut-generating-function
model
Teresa Lebair, Johns Hopkins

Robust Submodular Maximization: Offline and Online Algorithms
Alfredo Torrico, Georgia Tech

Session VI • Dynamic Optimization • 11:00 am - 12:30 pm
A Tractable Approach for Designing Piecewise Affine Policies in Dynamic Robust Optimization
Omar Housni, Columbia

Delay, memory, and messaging tradeoffs in distributed service systems
Martin Zubeldia, MIT

Dynamic Matching in School Choice: Efficient Seat Reassignment after Late Cancellations
Irene Lo, Columbia