Shin Matsushima

29 papers A* 5A 2B 5Journal 12Unranked 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
Detection of Unobserved Common Causes based on NML Code in Discrete, Mixed, and Continuous Variables.
CoRR
Masatoshi Kobayashi, Kohei Miyaguchi, Shin Matsushima
2022 B conf
Detection of Unobserved Common Cause in Discrete Data Based on the MDL Principle.
IEEE Big Data
Masatoshi Kobayashi, Kohei Miyaguchi, Shin Matsushima
2022 J jnl
mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations.
CoRR
Toyotaro Suzumura, Akiyoshi Sugiki, Hiroyuki Takizawa, Akira Imakura, Hiroshi Nakamura, Kenjiro Taura, Tomohiro Kudoh, Toshihiro Hanawa, Yuji Sekiya, Hill Hiroki Kobayashi, Shin Matsushima, Yohei Kuga, Ryo Nakamura, Renhe Jiang, Junya Kawase, Masatoshi Hanai, Hiroshi Miyazaki, Tsutomu Ishizaki, Daisuké Shimotoku, Daisuke Miyamoto, Kento Aida, Atsuko Takefusa, Takashi Kurimoto, Koji Sasayama, Naoya Kitagawa, Ikki Fujiwara, Yusuke Tanimura, Takayuki Aoki, Toshio Endo, Satoshi Ohshima, Keiichiro Fukazawa, Susumu Date, Toshihiro Uchibayashi
2020 B conf
Coordinate Descent Method for Log-linear Model on Posets.
DSAA
Shota Hayashi, Mahito Sugiyama, Shin Matsushima
2020 J jnl
Grafting for combinatorial binary model using frequent itemset mining.
Data Min. Knowl. Discov.
Taito Lee, Shin Matsushima, Kenji Yamanishi
2019 J jnl
Model Selection for Non-Negative Tensor Factorization with Minimum Description Length.
Entropy
Yunhui Fu, Shin Matsushima, Kenji Yamanishi
2019 A* conf
Scaling Multinomial Logistic Regression via Hybrid Parallelism.
KDD
Parameswaran Raman, Sriram Srinivasan, Shin Matsushima, Xinhua Zhang, Hyokun Yun, S. V. N. Vishwanathan
2019 A* conf
Selective Sampling-based Scalable Sparse Subspace Clustering.
NeurIPS
Shin Matsushima, Maria Brbic
2018 J jnl
Statistical Learnability of Generalized Additive Models based on Total Variation Regularization.
CoRR
Shin Matsushima
2018 J jnl
Traffic Risk Mining From Heterogeneous Road Statistics.
IEEE Trans. Intell. Transp. Syst.
Koichi Moriya, Shin Matsushima, Kenji Yamanishi
2017 — conf
Discovering potential traffic risks in Japan using a supervised learning approach.
IEEE BigData
Tatsuru Kobayashi, Shin Matsushima, Taito Lee, Kenji Yamanishi
2017 — conf
Distributed Stochastic Optimization of Regularized Risk via Saddle-Point Problem.
ECML/PKDD (1)
Shin Matsushima, Hyokun Yun, Xinhua Zhang, S. V. N. Vishwanathan
2017 J jnl
Grafting for Combinatorial Boolean Model using Frequent Itemset Mining.
CoRR
Taito Lee, Shin Matsushima, Kenji Yamanishi
2017 A conf
Sparse Graphical Modeling via Stochastic Complexity.
SDM
Kohei Miyaguchi, Shin Matsushima, Kenji Yamanishi
2016 — conf
Asynchronous Feature Extraction for Large-Scale Linear Predictors.
ECML/PKDD (1)
Shin Matsushima
2016 J jnl
DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic Regression.
CoRR
Parameswaran Raman, Shin Matsushima, Xinhua Zhang, Hyokun Yun, S. V. N. Vishwanathan
2016 B conf
Traffic Risk Mining Using Partially Ordered Non-Negative Matrix Factorization.
DSAA
Taito Lee, Shin Matsushima, Kenji Yamanishi
2016 B conf
Web Behavior Analysis Using Sparse Non-Negative Matrix Factorization.
DSAA
Akihiro Demachi, Shin Matsushima, Kenji Yamanishi
2016 A* conf
WordRank: Learning Word Embeddings via Robust Ranking.
EMNLP
Shihao Ji, Hyokun Yun, Pinar Yanardag, Shin Matsushima, S. V. N. Vishwanathan
2015 J jnl
Totally Corrective Boosting with Cardinality Penalization.
CoRR
Vasil S. Denchev, Nan Ding, Shin Matsushima, S. V. N. Vishwanathan, Hartmut Neven
2015 B conf
Traffic risk mining from heterogeneous road statistics.
DSAA
Koichi Moriya, Shin Matsushima, Kenji Yamanishi
2015 J jnl
WordRank: Learning Word Embeddings via Robust Ranking.
CoRR
Shihao Ji, Hyokun Yun, Pinar Yanardag, Shin Matsushima, S. V. N. Vishwanathan
2014 J jnl
Distributed Stochastic Optimization of the Regularized Risk.
CoRR
Shin Matsushima, Hyokun Yun, S. V. N. Vishwanathan
2014 J jnl
Feature-aware regularization for sparse online learning.
Sci. China Inf. Sci.
Hidekazu Oiwa, Shin Matsushima, Hiroshi Nakagawa
2012 A* conf
Healing Truncation Bias: Self-Weighted Truncation Framework for Dual Averaging.
ICDM
Hidekazu Oiwa, Shin Matsushima, Hiroshi Nakagawa
2012 A* conf
Linear support vector machines via dual cached loops.
KDD
Shin Matsushima, S. V. N. Vishwanathan, Alexander J. Smola
2011 — conf
Frequency-Aware Truncated Methods for Sparse Online Learning.
ECML/PKDD (2)
Hidekazu Oiwa, Shin Matsushima, Hiroshi Nakagawa
2010 A conf
Exact Passive-Aggressive Algorithm for Multiclass Classification Using Support Class.
SDM
Shin Matsushima, Nobuyuki Shimizu, Kazuhiro Yoshida, Takashi Ninomiya, Hiroshi Nakagawa
2010 — conf
ITC-UT: Tweet Categorization by Query Categorization for On-line Reputation Management.
CLEF (Notebook Papers/LABs/Workshops)
Minoru Yoshida, Shin Matsushima, Shingo Ono, Issei Sato, Hiroshi Nakagawa