Exploring Privately Learning High Dimensional Distributions
Welcome to our comprehensive guide on Privately Learning High Dimensional Distributions.
- Ankur Moitra, MIT https://simons.berkeley.edu/talks/tbd-166 Probability, Geometry, and Computation in
- Martin Wainwright, UC Berkeley Big Data Boot Camp http://simons.berkeley.edu/talks/martin-wainwright-2013-09-05b.
- By Jonathan Ullman (Northeastern University) Abstract: Abstract: I will present some new, nearly-optimal lower bounds on the ...
- Ankur Moitra, MIT https://simons.berkeley.edu/talks/tbd-172 Probability, Geometry, and Computation in
- Speaker: Saptarshi Roy, Postdoc Research Fellow, The University of Texas at Austin Abstract: We consider the problem of model ...
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 In this talk I will focus on two major aspects of differentially Counterintuitive Aspects of
Martin Wainwright, UC Berkeley Big Data Boot Camp http://simons.berkeley.edu/talks/martin-wainwright-2013-09-05a.
In summary, understanding Privately Learning High Dimensional Distributions gives us a better perspective.