105 citations · 187 across the 4 of their papers we have counts for
4 papers
Randomized Block Coordinate Descent for Online and Stochastic Optimization
Huahua Wang, Arindam Banerjee
Two types of low cost-per-iteration gradient descent methods have been extensively studied in parallel. One is online or stochastic gradient descent (OGD/SGD), and the other is ran…
Online Alternating Direction Method
Huahua Wang, Arindam Banerjee
Online optimization has emerged as powerful tool in large scale optimization. In this paper, we introduce efficient online algorithms based on the alternating directions method (AD…
Gap Filling in the Plant Kingdom---Trait Prediction Using Hierarchical Probabilistic Matrix Factorization
Hanhuai Shan, Jens Kattge, Peter Reich +3
Plant traits are a key to understanding and predicting the adaptation of ecosystems to environmental changes, which motivates the TRY project aiming at constructing a global databa…
Gaussian Process Topic Models
Amrudin Agovic, Arindam Banerjee
We introduce Gaussian Process Topic Models (GPTMs), a new family of topic models which can leverage a kernel among documents while extracting correlated topics. GPTMs can be consid…