Slides

Motivation And Use cases

  1. Introduction And Preliminaries
  2. Industrial Deployments

Speaker - Graham Cormode


Algorithms

  1. A Formal Introduction
  2. Primitives For Mean/Histogram Estimation
  3. Applications (Heavy Hitters/Frequent Itemset Mining)

Speaker - Tianhao Wang

Part C.pptx

More Applications

  1. Text And Language Modeling
  2. Marginal Distribution and Correlations.
  3. Spatial Data
  4. Synthetic Graph Generation
  5. Machine Learning

Speaker - Tejas Kulkarni