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Leveraged volume sampling for linear regression
Michal Derezinski, Manfred K. K. Warmuth, Daniel J. Hsu
Neural Information Processing Systems
Pd i=1(1 li) (see (8)), whereli = x>i (X>X) 1xi isthei-thleveragescoreofX. Here, weshow(3).
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e589022774244df75b97eae18bb3628d-Supplemental-Conference.pdf
Neural Information Processing Systems
But despite its wide applicability (see 2.2) and elegance, convergence theory for CCCP is quite limited.
- North America > United States > Massachusetts > Middlesex County > Cambridge (0.04)
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- North America > United States > Massachusetts > Middlesex County > Cambridge (0.04)
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- Europe > Russia (0.04)
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Positional Normalization
Boyi Li, Felix Wu, Kilian Q. Weinberger, Serge Belongie
Neural Information Processing Systems
Although various normalization schemes havebeen proposed, theyallfollowacommon theme: normalize acrossspatialdimensions and discard the extracted statistics.
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Scalable Global Optimization via Local Bayesian Optimization
David Eriksson, Michael Pearce, Jacob Gardner, Ryan D. Turner, Matthias Poloczek
Neural Information Processing Systems
To overcome these challenges, we adopt alocal strategy for BO.
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