Exploring Privately Learning High Dimensional Distributions
Welcome to our comprehensive guide on Privately Learning High Dimensional Distributions.
- Counterintuitive Aspects of
- Ankur Moitra, MIT https://simons.berkeley.edu/talks/tbd-169 Probability, Geometry, and Computation in
- EE380: Computer Systems Colloquium Seminar Computing with
- Justin Hsu, University of Pennsylvania Big Data and Differential Privacy http://simons.berkeley.edu/talks/justin-hsu-2013-12-11.
- Ankur Moitra, MIT https://simons.berkeley.edu/talks/tbd-172 Probability, Geometry, and Computation in
In-Depth Information on Privately Learning High Dimensional Distributions
Gautam Kamath (Massachusetts Institute of Technology) https://simons.berkeley.edu/talks/tba-63 Data Privacy: From Foundations ... Privately Learning High-Dimensional Distributions Martin Wainwright, UC Berkeley Big Data Boot Camp http://simons.berkeley.edu/talks/martin-wainwright-2013-09-05b. Martin Wainwright, UC Berkeley Big Data Boot Camp http://simons.berkeley.edu/talks/martin-wainwright-2013-09-05a.
In this talk I will focus on two major aspects of differentially
In summary, understanding Privately Learning High Dimensional Distributions gives us a better perspective.