{
  "id": "1910.02884",
  "version": "v1",
  "published": "2019-10-04T06:50:41.000Z",
  "updated": "2019-10-04T06:50:41.000Z",
  "title": "Introduction to Concentration Inequalities",
  "authors": [
    "Kumar Abhishek",
    "Sneha Maheshwari",
    "Sujit Gujar"
  ],
  "comment": "17 pages",
  "categories": [
    "math.PR",
    "cs.LG",
    "math.ST",
    "stat.TH"
  ],
  "abstract": "In this report, we aim to exemplify concentration inequalities and provide easy to understand proofs for it. Our focus is on the inequalities which are helpful in the design and analysis of machine learning algorithms.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2019-10-04T06:50:41.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "introduction",
      "machine learning algorithms",
      "understand proofs",
      "exemplify concentration inequalities"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 17,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}