Taito Lee, Shin Matsushima, Kenji Yamanishi. Grafting for Combinatorial Boolean Model using Frequent Itemset Mining. CoRR. 2017. abs/1711.02478
Kohei Miyaguchi, Shin Matsushima, Kenji Yamanishi. Sparse Graphical Modeling via Stochastic Complexity. Proceedings of the 2017 SIAM International Conference on Data Mining, Houston, Texas, USA, April 27-29, 2017. 2017. 723-731
Shin Matsushima, Hyokun Yun, Xinhua Zhang, S. V.N. Vishwanathan. Distributed Stochastic Optimization of Regularized Risk via Saddle-Point Problem. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2017. 10534. 460-476
Parameswaran Raman, Shin Matsushima, Xinhua Zhang, Hyokun Yun, S. V, N. Vishwanathan. DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic Regression. CoRR. 2016. abs/1604.04706
