vlt 1
219ece62fae865562d4510ea501cf349-Supplemental.pdf
If there are multiple LVs, we select the LV with the maximum probabilityp(W). It is a heuristic to improve the empirical performancesuggestedby[13]. The simulated robot pushing experiment is taken from [23]. The simulation returns the location of apushed object given the robot'slocation and the pushing duration, i.e.,x. The portfolio optimization problem is taken from [4].
OptimizingConditionalValue-At-Risk ofBlack-BoxFunctions
A wide range of applications from Auto-ML [15] to chemistry [6] and drug design [3] require optimizing ablack-boxobjectivefunction (i.e.,itsclosed-form expression, gradient, andconvexity are unknown) through observing noisy function evaluations.
Technology: Information Technology > Artificial Intelligence > Representation & Reasoning > Optimization (0.47)