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Career
·
PhD Candidate, Computer Science
,
Cornell University
·
Software Engineer
,
Google
·
Machine Learning Scientist
,
NOETIK
·
Master's Degree, Computer Science
,
Stanford University
Publications
(13)
Tight Dimensionality Reduction for Sketching Low Degree Polynomial Kernels
Neural Information Processing Systems · 2019
18
cited
A Data Prism: Semi-verified learning in the small-alpha regime
Annual Conference Computational Learning Theory · 2018
17
cited
Mining TCGA Data Using Boolean Implications
PLoS ONE · 2014
12
cited
Learning with Comparison Feedback: Online Estimation of Sample Statistics
International Conference on Algorithmic Learning Theory · 2021
7
cited
Optimizing the order of actions in a model of contact tracing
PNAS Nexus · 2023
6
cited
Optimizing the order of actions in contact tracing
arXiv.org · 2021
4
cited
Digital Security and Reproductive Rights: Lessons for Feminist Cyberlaw
Social Science Research Network · 2022
2
cited
Containing the spread of a contagion on a tree
Adaptive Agents and Multi-Agent Systems · 2022
1
cited
A Survey of Pseudorandom Functions
2017
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Michela Meister | Researcher Profile | Sotabase | Sotabase