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A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families
Brian Axelrod, Ilias Diakonikolas, Alistair Stewart, Anastasios Sidiropoulos, Gregory Valiant
Neural Information Processing Systems
Neural Information Processing Systems http://nips.cc/
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eb011fd258c763c44d8c6a0e9ce04f17-Paper-Datasets_and_Benchmarks.pdf
Neural Information Processing Systems
In this work, we apply these ideas to sign language recognition.
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Online Estimation via Offline Estimation: An Information-Theoretic Framework Dylan J. Foster
Neural Information Processing Systems
The classical theory of statistical estimation aims to estimate a parameter of interest under data generated from a fixed design ("offline estimation"), while the contemporary theory of online learning provides algorithms for estimation under adaptively
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