Ryohei Fujimaki

According to our database, Ryohei Fujimaki authored at least 37 papers between 2005 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2019

An Empirical Study on Distributed Bayesian Approximation Inference of Piecewise Sparse Linear Models.

Masato Asahara, Ryohei Fujimaki

IEEE Trans. Parallel Distributed Syst., 2019

An Interactive Greedy Approach to Group Sparsity in High Dimensions.

Wei Qian, Wending Li, Yasuhiro Sogawa, Ryohei Fujimaki, Xitong Yang, Ji Liu

Technometrics, 2019

2018

A Rare and Critical Condition Search Technique and its Application to Telescope Stray Light Analysis.

Keiichi Kisamori, Takashi Washio, Yoshio Kameda, Ryohei Fujimaki

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Unbiased Objective Estimation in Predictive Optimization.

Shinji Ito, Akihiro Yabe, Ryohei Fujimaki

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Efficient nonparametric and asymptotic Bayesian model selection methods for attributed graph clustering.

Zhiqiang Xu, James Cheng, Xiaokui Xiao, Ryohei Fujimaki, Yusuke Muraoka

Knowl. Inf. Syst., 2017

Scalable Model Selection for Belief Networks.

Zhao Song, Yusuke Muraoka, Ryohei Fujimaki, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Optimization Beyond Prediction: Prescriptive Price Optimization.

Shinji Ito, Ryohei Fujimaki

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Robust Quadratic Programming for Price Optimization.

Akihiro Yabe, Shinji Ito, Ryohei Fujimaki

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Factorized Asymptotic Bayesian Policy Search for POMDPs.

Masaaki Imaizumi, Ryohei Fujimaki

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

On The Projection Operator to A Three-view Cardinality Constrained Set.

Haichuan Yang, Shupeng Gui, Chuyang Ke, Daniel Stefankovic, Ryohei Fujimaki, Ji Liu

Proceedings of the 34th International Conference on Machine Learning, 2017

Distributed Bayesian piecewise sparse linear models.

Masato Asahara, Ryohei Fujimaki

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Large-Scale Price Optimization via Network Flow.

Shinji Ito, Ryohei Fujimaki

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Online Feature Selection: A Limited-Memory Substitution Algorithm and Its Asynchronous Parallel Variation.

Haichuan Yang, Ryohei Fujimaki, Yukitaka Kusumura, Ji Liu

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Streaming Model Selection via Online Factorized Asymptotic Bayesian Inference.

Chunchen Liu, Lu Feng, Ryohei Fujimaki

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

Scatterplot layout for high-dimensional data visualization.

Yunzhu Zheng, Haruka Suematsu, Takayuki Itoh, Ryohei Fujimaki, Satoshi Morinaga, Yoshinobu Kawahara

J. Vis., 2015

Learning chromatin states with factorized information criteria.

Michiaki Hamada, Yukiteru Ono, Ryohei Fujimaki, Kiyoshi Asai

Bioinform., 2015

Trading Interpretability for Accuracy: Oblique Treed Sparse Additive Models.

Jialei Wang, Ryohei Fujimaki, Yosuke Motohashi

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Scalable Model Selection for Large-Scale Factorial Relational Models.

Chunchen Liu, Lu Feng, Ryohei Fujimaki, Yusuke Muraoka

Proceedings of the 32nd International Conference on Machine Learning, 2015

Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood.

Kohei Hayashi, Shin-ichi Maeda, Ryohei Fujimaki

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Partition-wise Linear Models.

Hidekazu Oiwa, Ryohei Fujimaki

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Exclusive Feature Learning on Arbitrary Structures via \ell_{1, 2}-norm.

Deguang Kong, Ryohei Fujimaki, Ji Liu, Feiping Nie, Chris H. Q. Ding

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint.

Ji Liu, Jieping Ye, Ryohei Fujimaki

Proceedings of the 31th International Conference on Machine Learning, 2014

Fully-Automatic Bayesian Piecewise Sparse Linear Models.

Riki Eto, Ryohei Fujimaki, Satoshi Morinaga, Hiroshi Tamano

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Factorized Asymptotic Bayesian Inference for Latent Feature Models.

Kohei Hayashi, Ryohei Fujimaki

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Arrangement of Low-Dimensional Parallel Coordinate Plots for High-Dimensional Data Visualization.

Haruka Suematsu, Yunzhu Zheng, Takayuki Itoh, Ryohei Fujimaki, Satoshi Morinaga, Yoshinobu Kawahara

Proceedings of the 17th International Conference on Information Visualisation, 2013

2012

Factorized Asymptotic Bayesian Inference for Mixture Modeling.

Ryohei Fujimaki, Satoshi Morinaga

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Factorized Asymptotic Bayesian Hidden Markov Models.

Ryohei Fujimaki, Kohei Hayashi

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Multi-stage change-point detection scheme for large-scale simultaneous events.

Yukinobu Fukushima, Tutomu Murase, Masayoshi Kobayashi, Hiroki Fujiwara, Ryohei Fujimaki, Tokumi Yokohira

Comput. Commun., 2011

Online heterogeneous mixture modeling with marginal and copula selection.

Ryohei Fujimaki, Yasuhiro Sogawa, Satoshi Morinaga

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2009

Mining abnormal patterns from heterogeneous time-series with irrelevant features for fault event detection.

Ryohei Fujimaki, Takayuki Nakata, Hidenori Tsukahara, Akinori Sato, Kenji Yamanishi

Stat. Anal. Data Min., 2009

Network anomaly detection based on Eigen equation compression.

Shunsuke Hirose, Kenji Yamanishi, Takayuki Nakata, Ryohei Fujimaki

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Linear Time Model Selection for Mixture of Heterogeneous Components.

Ryohei Fujimaki, Satoshi Morinaga, Michinari Momma, Kenji Aoki, Takayuki Nakata

Proceedings of the Advances in Machine Learning, 2009

2008

Mining Abnormal Patterns from Heterogeneous Time-Series with Irrelevant Features for Fault Event Detection.

Ryohei Fujimaki, Takayuki Nakata, Hidenori Tsukahara, Akinori Sato

Proceedings of the SIAM International Conference on Data Mining, 2008

Theorectical Analysis of Subsequence Time-Series Clustering from a Frequency-Analysis Viewpoint.

Ryohei Fujimaki, Shunsuke Hirose, Takayuki Nakata

Proceedings of the SIAM International Conference on Data Mining, 2008

Anomaly Detection Support Vector Machine and Its Application to Fault Diagnosis.

Ryohei Fujimaki

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2005

An Anomaly Detection Method for Spacecraft Using Relevance Vector Learning.

Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

An approach to spacecraft anomaly detection problem using kernel feature space.

Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida

Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005