

Weijun Xie, an ISyE assistant professor to talk on the topic: On Dantzig-Wolfe Relaxation of Rank Constrained Optimization: Exactness, Rank Bounds, and Algorithms


AI4OPT is hosting a multi-part tutorial the week of November 14, 2022. The tutorial consists of four white-board talks.


Yinyu Ye, a Stanford University professor to talk on the topic: Recent Developments on Optimization Algorithms for Convex and Nonconvex Optimization


Soroosh Shafieezadeh Abadeh, a postdoctoral researcher at Tepper School of Business at Carnegie Mellon University will present on the topic: Semi-discrete Optimal Transport: Hardness, Regularization and Numerical Solution


Dylan Foster, a senior researcher at Microsoft Research New England to talk on the topic: The Statistical Complexity of Interactive Decision-Making


Karthyek Murthy, an Assistant Professor in Singapore University of Technology & Design to talk on the topic: Optimizing Tail Risks With Limited Samples: Can Algorithms Engineer Effective Reductions in Variance & Model-bias?


Spyros Chatzivasileiadis, Associate Professor and Head of Section for Power Systems (PWR) at the Division for Power and Energy Systems, at the Department of Wind & Energy will give talk on topic: Machine Learning for Power Systems: Is It Time To Trust It?


Chi Jin, an assistant professor at the Electrical and Computer Engineering department of Princeton University will speak on the topic: When Is Partially Observable Reinforcement Learning Not Scary?


Satyen Kale, a research scientist at Google Research will speak on the topic: Optimization Algorithms for Heterogeneous Clients in Federated Learning


AI4OPT Seminar Series: Hamsa Bastani will speak on Near-Optimal Decision-Aware Learning for Global Health Supply Chains
