Upcoming Seminars
To Be Announced Shortly
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Past Seminars
Garud Iyengar, an operations professor, at Industrial Engineering and Operations Research at Columbia University will give talk on the topic: Scalable Computation of Causal Bounds
Rayadurgam Srikant, UIUC - University of Illinois Urbana-Champaign
Subbarao Kambhampati, ASU - Arizona State University
Stefanie Jegelka, an associate professor in the department of EECS at MIT talks on the topic: Machine Learning for Discrete Optimization: Graph Neural Networks, Generalization Under Shifts, and Loss Functions
Andres Ferragut, a professor of networks at Universidad ORT Uruguay, talks on the topic: Load Balancing for Spatially Distributed Demands With Applications to Electrical Vehicle Charging
Gautam Kamath, an assistant professor at the David R. Cheriton School of Computer Science at the University of Waterloo talks on the topic: Efficient Private Mean Estimation
Fatma Kilinç-Karzan, an associate professor of operations research in the Tepper School of Business at Carnegie Mellon University talks on the topic: Accelerated First-order Methods for a Class of Semidefinite Programs
Anirbit Mukherjee, an assistant professor at the University of Manchester, to talk on the topic: Provable Training of Neural Nets With One Layer of Activation
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