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Bayesian optimization with approximate set kernels |
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| Authors: | Kim Jungtaek McCourt Michael You Tackgeun Kim Saehoon Choi Seungjin |
| Affiliation: | 1.POSTECH, Pohang, Republic of Korea ;2.SigOpt, an Intel company, San Francisco, USA ;3.Kakao Brain, Seongnam, Republic of Korea ;4.BARO AI, Seoul, Republic of Korea ; |
| Abstract: | Machine Learning - We propose a practical Bayesian optimization method over sets, to minimize a black-box function that takes a set as a single input. Because set inputs are permutation-invariant,... |
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