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12/12/2022
Fast Learning of Multidimensional Hawkes Processes via Frank-Wolfe
Hawkes processes have recently risen to the forefront of tools when it c...
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05/19/2017
A Unified Framework for Stochastic Matrix Factorization via Variance Reduction
We propose a unified framework to speed up the existing stochastic matri...
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04/01/2017
Stochastic L-BFGS: Improved Convergence Rates and Practical Acceleration Strategies
We revisit the stochastic limited-memory BFGS (L-BFGS) algorithm. By pro...
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09/04/2016
A Unified Convergence Analysis of the Multiplicative Update Algorithm for Regularized Nonnegative Matrix Factorization
The multiplicative update (MU) algorithm has been extensively used to es...
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07/30/2016
Online Nonnegative Matrix Factorization with General Divergences
We develop a unified and systematic framework for performing online nonn...
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04/10/2016
Online Nonnegative Matrix Factorization with Outliers
We propose a unified and systematic framework for performing online nonn...
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02/15/2016