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  "Title": "Kriging-Based Optimization for Computer Experiments",
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  "Description": "Efficient Global Optimization (EGO) algorithm as described\nin \"Roustant et al. (2012)\" <doi:10.18637/jss.v051.i01> and\nadaptations for problems with noise (\"Picheny and Ginsbourger,\n2012\") <doi:10.1016/j.csda.2013.03.018>, parallel infill, and\nproblems with constraints.",
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    "sphere6",
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      "title": "Augmented Expected Improvement",
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      ]
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      "title": "AEI's Gradient",
      "topics": [
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    },
    {
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      "title": "Approximate Knowledge Gradient (AKG)",
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        "AKG"
      ]
    },
    {
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      "title": "AKG's Gradient",
      "topics": [
        "AKG.grad"
      ]
    },
    {
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      ]
    },
    {
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      "topics": [
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      ]
    },
    {
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      "title": "Expected Feasible Improvement",
      "topics": [
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      ]
    },
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      "topics": [
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    },
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      "topics": [
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      ]
    },
    {
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      "topics": [
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      ]
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      "topics": [
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      ]
    },
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      ]
    },
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    },
    {
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      "title": "Analytical expression of the Expected Improvement criterion",
      "topics": [
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    },
    {
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      ]
    },
    {
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      "title": "Expected Quantile Improvement",
      "topics": [
        "EQI"
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    },
    {
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      "title": "EQI's Gradient",
      "topics": [
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      ]
    },
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    },
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