

Pascal Poupart, a Professor in the David R. Cheriton School of Computer Science at the University of Waterloo (Canada), will present "Inverse Constraint learning for Autonomous Driving and Robotics."


Mohsen Bayati, professor in Operations, Information, and Technology at the Graduate School of Business at Stanford University and an Amazon Scholar, will present "A General Method for Experimentation Under Network Interference."


Akshay Krishnamurthym, principal research manager at Microsoft Research in New York City,


Anqi Wu to present on topic "Improving Variational Inference for Complex Probabilistic Modeling."


Mohit Prabhushankar to present on topic "Towards Robust Neural Networks: Explainability, Uncertainty, and Intervenability."


Jehum Cho, a Ph.D. candidate at the Center for Operations Research and Econometrics (CORE), UCLouvain, under the supervision of Anthony Papavasiliou will present on Exact Mixed-Integer Programming for Multi-Area Reserve Sizing.


Wim Nuijten presents on The Eindhoven Artificial Intelligence Systems Institute, Supply Chain Optimization, and Football during seminar series.


Jiaming Xu, associate professor at the Fuqua School of Business at Duke, presents during AI4OPT Tutorial Lectures


Thiago Serra, Bucknell University


Devavrat Shah of Massachusetts Institute of Technology will discuss the topic:On Counterfactual Inference With Unobserved Confounding via Exponential Family.


Eytan Modiano, MIT, will discuss topic: An Algorithm for Crowdsourcing With Hard and Easy Tasks.


Sanjay Shakkottai, University of Texas at Austin


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