Search Results for author: Jessica Hoffmann

Found 5 papers, 2 papers with code

Fairness for Image Generation with Uncertain Sensitive Attributes

1 code implementation23 Jun 2021 Ajil Jalal, Sushrut Karmalkar, Jessica Hoffmann, Alexandros G. Dimakis, Eric Price

This motivates the introduction of definitions that allow algorithms to be \emph{oblivious} to the relevant groupings.

Fairness Image Generation +2

Learning Mixtures of Graphs from Epidemic Cascades

no code implementations ICML 2020 Jessica Hoffmann, Soumya Basu, Surbhi Goel, Constantine Caramanis

When the conditions are met, i. e., when the graphs are connected with at least three edges, we give an efficient algorithm for learning the weights of both graphs with optimal sample complexity (up to log factors).

Learning Graphs from Noisy Epidemic Cascades

no code implementations6 Mar 2019 Jessica Hoffmann, Constantine Caramanis

Finally, we give a polynomial time algorithm for learning the weights of general bounded-degree graphs in the limited-noise setting.

Robust estimation of tree structured Gaussian Graphical Model

no code implementations25 Jan 2019 Ashish Katiyar, Jessica Hoffmann, Constantine Caramanis

If we observe realizations of the variables, we can compute the covariance matrix, and it is well known that the support of the inverse covariance matrix corresponds to the edges of the graphical model.

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