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%252C+a+framework+leveraging+multi-objective+Bayesian+Optimization+to+explore+fleets+on+the+Pareto+front+of+performance+and+cost+while+accounting+for+uncertainty+in+the+design+space.+Moreover%252C+we+establish+a+sub-linear+bound+for+cumulative+regret%252C+supporting+BOFD%27s+robustness+and+efficacy.+Extensive+benchmark+experiments+in+synthetic+and+simulated+environments+demonstrate+the+superiority+of+our+framework+over+state-of-the-art+methods%252C+achieving+efficient+fleet+designs+with+minimal+fleet+evaluations.&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.9135dee971b1f3d575132157dd396c59%3frik%3d0QMOuSQFCc4iBA%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=Multi-Objective+Bayesian+Optimization+Machine+Learning+Overview&FORM=IRPRST&ck=5AC4ECCECD67B533EBA929C9AD7A33C2&selectedIndex=95&itb=0)
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Top suggestions for multi objective bayesian optimization machine learning overview |
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