Tao Sun

Publication Activity (10 Years)

Years Active: 2013-2021
Publications (10 Years): 6

Top Topics

Differentially Private

Graphical Models

Conditional Independence

Top Venues

Publications

Shiv Shankar, Daniel Sheldon, Tao Sun, John Pickering, Thomas G. Dietterich
Three-quarter Sibling Regression for Denoising Observational Data. CoRR (2021)
Shiv Shankar, Daniel Sheldon, Tao Sun, John Pickering, Thomas G. Dietterich
Three-quarter Sibling Regression for Denoising Observational Data. IJCAI (2019)
Tao Sun, Daniel Sheldon, Brendan OConnor
A Probabilistic Approach for Learning with Label Proportions Applied to the US Presidential Election. ICDM (2017)
Garrett Bernstein, Ryan McKenna, Tao Sun, Daniel Sheldon, Michael Hay, Gerome Miklau
Differentially Private Learning of Undirected Graphical Models using Collective Graphical Models. CoRR (2017)
Garrett Bernstein, Ryan McKenna, Tao Sun, Daniel Sheldon, Michael Hay, Gerome Miklau
Differentially Private Learning of Undirected Graphical Models Using Collective Graphical Models. ICML (2017)
Tao Sun, Daniel Sheldon, Akshat Kumar
Message Passing for Collective Graphical Models. ICML (2015)
Daniel Sheldon, Tao Sun, Akshat Kumar, Thomas G. Dietterich
Approximate Inference in Collective Graphical Models. ICML (3) (2013)