Speaker:Rasoul Etesami (University of Illinois Urbana-Champaign)Time:Tues. & Thur., 9:50-11:25 am,May 20- August 12, 2025Venue:C548, Shuangqing Complex Building AOnline:Zoom Meeting ID: 276 366 7254Passcode: YMSCDiscription: In recent years, a broad array of studies on learning in multiagent systems has emerged across diverse fields, including operations research, computer science, engineer...
Record: YesLevel: GraduateLanguage: EnglishPrerequisiteProbability theory, Mathematical statistics, Machine learningAbstractProbabilistic approach in machine and deep learning leads to principled solutions. It provides explainable decisions and new ways for improving of existing approaches. Bayesian machine learning consists of probabilistic approaches that rely on Bayes formula. It can help in...