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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
International Conference on Algorithmic Learning Theory · 2021
7
cited
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