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Found 3 papers, 0 papers with code
Shift-Curvature, SGD, and Generalization
Although the shift is unknown at training time, the shift-curvature can still be mitigated by minimizing overall curvature.
The decoupled extended Kalman filter for dynamic exponential-family factorization models
Motivated by the needs of online large-scale recommender systems, we specialize the decoupled extended Kalman filter (DEKF) to factorization models, including factorization machines, matrix and tensor factorization, and illustrate the effectiveness of the approach through numerical experiments on synthetic and on real-world data.
Online Algorithms For Parameter Mean And Variance Estimation In Dynamic Regression Models
Because the common regression models encountered in practice such as logistic, exponential and multinomial all have observations modeled through an exponential family distribution, our results are used to easily obtain algorithms for online mean and variance parameter estimation for all these regression models in the context of time-dependent parameters.
