40 citations · 101 across the 14 of their papers we have counts for
3 papers · 1 filter
A Scalable Asynchronous Distributed Algorithm for Topic Modeling
Hsiang-Fu Yu, Cho-Jui Hsieh, Hyokun Yun +2
Learning meaningful topic models with massive document collections which contain millions of documents and billions of tokens is challenging because of two reasons: First, one need…
Distributed Stochastic Optimization of the Regularized Risk
Shin Matsushima, Hyokun Yun, Xinhua Zhang +1
Many machine learning algorithms minimize a regularized risk, and stochastic optimization is widely used for this task. When working with massive data, it is desirable to perform s…
Ranking via Robust Binary Classification and Parallel Parameter Estimation in Large-Scale Data
Hyokun Yun, Parameswaran Raman, S. V. N. Vishwanathan
We propose RoBiRank, a ranking algorithm that is motivated by observing a close connection between evaluation metrics for learning to rank and loss functions for robust classificat…