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Constantinos Daskalakis (MIT) simons.berkeley.edu/talks/ Examples of Maxima and Minima problems. Emmanouil Zampetakis (UC Berkeley) simons.berkeley.edu/talks/tbd-361 Adversarial Approaches in Machine Learning. Course Webpage: cs.umd.edu/class/fall2020/cmsc828W/ Meisam Razaviyayn (University of Southern California) ... Panayotis Mertikopoulos (CNRS) simons.berkeley.edu/talks/ Yang Cai (Yale University) simons.berkeley.edu/talks/robust-md-ml-learned-mechanism Adversarial Approaches in ... ... Stratis Skoulakis and Manolis Zampetakis on This video covers all kinds of extra optimizations that XGBoost uses when the training dataset is huge. So we'll talk about the ... Guest talk by Costis Daskalakis on the seminar series held by MTL MLOpt. mtl-mlopt.github.io Host: Ioannis Mitliagkas July ...
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