Ference & Associates LLC
Systems and methods for large-scale randomized optimization for problems with decomposable loss functions
Systems and methods directed toward processing optimization problems using loss functions, wherein a loss function is decomposed into at least one stratum loss function, a loss is decreased for each stratum loss function to a predefined stratum loss threshold individually using gradient descent, and the overall loss is decreased to a predefined threshold for the loss function by appropriately ordering the processing of the strata and spending appropriate processing time in each stratum. Other embodiments and aspects are also described herein.
International Business Machines Corporation
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Peter Jay Rainer John
Haas Gemulla Sismanis