5 citations · 13 across the 5 of their papers we have counts for
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stat.ML2016★ 3 cited
Extreme Stochastic Variational Inference: Distributed and Asynchronous
Jiong Zhang, Parameswaran Raman, Shihao Ji +3
Stochastic variational inference (SVI), the state-of-the-art algorithm for scaling variational inference to large-datasets, is inherently serial. Moreover, it requires the paramete…
cs.LG2016★ 5 cited
DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic Regression
Parameswaran Raman, Sriram Srinivasan, Shin Matsushima +3
Scaling multinomial logistic regression to datasets with very large number of data points and classes is challenging. This is primarily because one needs to compute the log-partiti…