[
  {
    "id": "dl-01-1",
    "type": "article-journal",
    "title": "Stochastic Gradient Descent as Approximate Bayesian Inference",
    "author": [
      {
        "given": "Stephan",
        "family": "Mandt"
      },
      {
        "given": "Matthew D.",
        "family": "Hoffman"
      },
      {
        "given": "David M.",
        "family": "Blei"
      }
    ],
    "container-title": "Journal of Machine Learning Research 18(134)",
    "issued": {
      "date-parts": [
        [
          2017
        ]
      ]
    },
    "DOI": "",
    "URL": "https://jmlr.org/papers/v18/17-214.html"
  },
  {
    "id": "dl-01-2",
    "type": "article",
    "title": "A Bayesian Perspective on Generalization and Stochastic Gradient Descent",
    "author": [
      {
        "given": "Samuel L.",
        "family": "Smith"
      },
      {
        "given": "Quoc V.",
        "family": "Le"
      }
    ],
    "container-title": "arXiv:1710.06451",
    "issued": {
      "date-parts": [
        [
          2017
        ]
      ]
    },
    "DOI": "10.48550/arXiv.1710.06451",
    "URL": "https://arxiv.org/abs/1710.06451"
  },
  {
    "id": "dl-01-3",
    "type": "article",
    "title": "An Empirical Model of Large-Batch Training",
    "author": [
      {
        "given": "Sam",
        "family": "McCandlish"
      },
      {
        "given": "Jared",
        "family": "Kaplan"
      },
      {
        "given": "Dario",
        "family": "Amodei"
      },
      {
        "literal": "OpenAI Dota Team"
      }
    ],
    "container-title": "arXiv:1812.06162",
    "issued": {
      "date-parts": [
        [
          2018
        ]
      ]
    },
    "DOI": "10.48550/arXiv.1812.06162",
    "URL": "https://arxiv.org/abs/1812.06162"
  }
]
