Operations Research     


Operations Research - Seminars and Visits

The OR PIC, in collaboration with the Reasoning PIC (formerly Artificial Intelligence PIC), which assumes cognitive aspects of OR, frequently hosts seminars and visits by academic scholars and top PhD students. Here is a list of some recent talks.

Year 2019

August 21, Nir Halman, Hebrew University of Jerusalem, Approximation Schemes for Non-Separable Non-Linear Boolean Programming Problems under Nested Knapsack Constraints

August 15, Rui Gao, University of Texas at Austin, Data-Driven Robust Optimization with Known Marginal Distributions

July 23, Mourad Baiou, University of Clermon-Ferrant, Network security games on networks and matroids

June 6, Dabeen Lee, Carnegie Mellon University, Chvatal-Gomory cuts, rank, closure, and their generalizations for integer programming

May 21, Andrew Goldberg, Cornell University, Beating the curse of dimensionality in options pricing and optimal stopping

May 15, Daniel Freund, Lyft, Fair Allocation of Passenger Premium Pay

May 9, Miles Lubin, Google, Polyhedral approaches for mixed-integer convex optimization

March 14, Paolo Paronuzzi, University of Bologna, New ILP formulations for k-Vertex Cut Problems

Year 2018

Dec 12, Martin Takac, Lehigh University, Reinforcement Learning for Solving the Vehicle Routing Problem

Nov 29, Huseyin Topaloglu, CornellTech, Approximation Algorithms for Network Revenue Management

Oct 20, Nam Ho-Nguyen, Carnegie Mellon University, A dynamic primal-dual first-order framework for convex optimization under uncertainty

Year 2017

Jun 14, Xiaoou Li, University of Minnesota, Optimal Sequential Designs for Crowdsourcing

May 11, Claudia Perlich, Dstillery, Machine Learning Challenges in Programmatic Advertising

Apr 24, Guodong Pang, Penn State University, New Maximal Inequalities and Non-Stationary Shot Noise Processes

Apr 6, Fatma Kilinc-Karzan, Carnegie Mellon University, Online First-Order Framework for Robust Convex Optimization

Mar 22, Amitabh Basu, Johns Hopkins University, Understanding Deep Neural Networks with Rectified Linear Units

Mar 16, Nicholas Gast, INRIA, Grenoble, France, How Accurate is Mean-Field Approximation?

Year 2016

Dec 9, Shane Henderson, Cornell University, Ranking and Selection: Strong Statistical Guarantees on 1000 Cores

Dec 7, David Yao, Columbia University, Production Planning with Risk Hedging

Dec 6, Giorgio Sartor, Singapore University of Technology and Design, A Matching Algorithm for Influence Maximization and Structural Controllability in Complex Networks

Nov 30, Guido Lagos, Georgia Tech, Limit distributions related to the Euler discretization error of Brownian motion about random times 

Nov 7, Karthyek Murthy, Columbia University, Using data-driven DRO to optimally choose regularization parameter in machine learning

Nov 2, Mourad Baiou, CNRS-LIMOS Clermont-Ferrand, France, Network Disconnection Games

Oct 31, Yao Zhao, Dept. of Supply Chain Management, Rutgers University, Shipping Peak Demand for Online Sellers:  Surcharge vs. Flat Rate

Oct 20, Guanghui (George) Lan, Georgia Institute of Technology, Optimal Stochastic Gradient Descent

Oct 12, Nathan Kallus, Cornell (NYC Tech Campus), Learning to Personalize from Observational and Behavioral Data

Oct 5, Alex Koppel, UPenn Wharton, Parsimonious Online Learning with Kernels via Sparse Projections in Function Space

Sept 27,  Chang-han Rhee, CWI, Sample-Path Large Deviations for Heavy-Tails: the Principle of Multiple Big Jumps

Sept 22,  Gustavo Vulcano, NYU Stern School of Business, A partial-order-based model to estimate individual preferences using panel data

May 13, Yanhua Li, Worcester Polytechnic Institute, Managing and Making Sense of Big Data From Urban Networks

May 4, Georgina Hall, Operations Research & Financial Engineering Dept, Princeton U, DC Decomposition of Nonconvex Polynomials with Algebraic Techniques

Mar 22, Santanu Dey, School of Industrial & Systems Engineering, Georgia Tech, Cutting planes to strengthen second order conic relaxation of the Optimal power flow problem

Mar 14,  Gabor Pataki, Department of Statistics and Operations Research, UNC Chapel Hill, Combinatorial characterizations in semidefinite programming duality