Ryohei Fujimaki

Publication Activity (10 Years)

Years Active: 2005-2019
Publications (10 Years): 17

Top Topics

Model Selection

Marginal Likelihood

Top Venues

Publications

Masato Asahara, Ryohei Fujimaki
An Empirical Study on Distributed Bayesian Approximation Inference of Piecewise Sparse Linear Models. IEEE Trans. Parallel Distributed Syst. 30 (7) (2019)
Wei Qian, Wending Li, Yasuhiro Sogawa, Ryohei Fujimaki, Xitong Yang, Ji Liu
An Interactive Greedy Approach to Group Sparsity in High Dimensions. Technometrics 61 (3) (2019)
Keiichi Kisamori, Takashi Washio, Yoshio Kameda, Ryohei Fujimaki
A Rare and Critical Condition Search Technique and its Application to Telescope Stray Light Analysis. SDM (2018)
Shinji Ito, Akihiro Yabe, Ryohei Fujimaki
Unbiased Objective Estimation in Predictive Optimization. ICML (2018)
Zhao Song, Yusuke Muraoka, Ryohei Fujimaki, Lawrence Carin
Scalable Model Selection for Belief Networks. NIPS (2017)
Masato Asahara, Ryohei Fujimaki
Distributed Bayesian piecewise sparse linear models. IEEE BigData (2017)
Masaaki Imaizumi, Ryohei Fujimaki
Factorized Asymptotic Bayesian Policy Search for POMDPs. IJCAI (2017)
Shinji Ito, Ryohei Fujimaki
Optimization Beyond Prediction: Prescriptive Price Optimization. KDD (2017)
Haichuan Yang, Shupeng Gui, Chuyang Ke, Daniel Stefankovic, Ryohei Fujimaki, Ji Liu
On The Projection Operator to A Three-view Cardinality Constrained Set. CoRR (2017)
Akihiro Yabe, Shinji Ito, Ryohei Fujimaki
Robust Quadratic Programming for Price Optimization. IJCAI (2017)
Masato Asahara, Ryohei Fujimaki
Distributed Bayesian Piecewise Sparse Linear Models. CoRR (2017)
Haichuan Yang, Shupeng Gui, Chuyang Ke, Daniel Stefankovic, Ryohei Fujimaki, Ji Liu
On The Projection Operator to A Three-view Cardinality Constrained Set. ICML (2017)
Zhiqiang Xu, James Cheng, Xiaokui Xiao, Ryohei Fujimaki, Yusuke Muraoka
Efficient nonparametric and asymptotic Bayesian model selection methods for attributed graph clustering. Knowl. Inf. Syst. 53 (1) (2017)
Shinji Ito, Ryohei Fujimaki
Large-Scale Price Optimization via Network Flow. NIPS (2016)
Haichuan Yang, Ryohei Fujimaki, Yukitaka Kusumura, Ji Liu
Online Feature Selection: A Limited-Memory Substitution Algorithm and Its Asynchronous Parallel Variation. KDD (2016)
Chunchen Liu, Lu Feng, Ryohei Fujimaki
Streaming Model Selection via Online Factorized Asymptotic Bayesian Inference. ICDM (2016)
Shinji Ito, Ryohei Fujimaki
Optimization Beyond Prediction: Prescriptive Price Optimization. CoRR (2016)
Jialei Wang, Ryohei Fujimaki, Yosuke Motohashi
Trading Interpretability for Accuracy: Oblique Treed Sparse Additive Models. KDD (2015)
Chunchen Liu, Lu Feng, Ryohei Fujimaki, Yusuke Muraoka
Scalable Model Selection for Large-Scale Factorial Relational Models. ICML (2015)
Michiaki Hamada, Yukiteru Ono, Ryohei Fujimaki, Kiyoshi Asai
Learning chromatin states with factorized information criteria. Bioinform. 31 (15) (2015)
Yunzhu Zheng, Haruka Suematsu, Takayuki Itoh, Ryohei Fujimaki, Satoshi Morinaga, Yoshinobu Kawahara
Scatterplot layout for high-dimensional data visualization. J. Vis. 18 (1) (2015)
Kohei Hayashi, Shin-ichi Maeda, Ryohei Fujimaki
Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood. ICML (2015)
Kohei Hayashi, Shin-ichi Maeda, Ryohei Fujimaki
Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood. CoRR (2015)
Hidekazu Oiwa, Ryohei Fujimaki
Partition-wise Linear Models. NIPS (2014)
Ji Liu, Jieping Ye, Ryohei Fujimaki
Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint. ICML (2014)
Deguang Kong, Ryohei Fujimaki, Ji Liu, Feiping Nie, Chris H. Q. Ding
Exclusive Feature Learning on Arbitrary Structures via \ell_{1, 2}-norm. NIPS (2014)
Riki Eto, Ryohei Fujimaki, Satoshi Morinaga, Hiroshi Tamano
Fully-Automatic Bayesian Piecewise Sparse Linear Models. AISTATS (2014)
Hidekazu Oiwa, Ryohei Fujimaki
Partition-wise Linear Models. CoRR (2014)
Kohei Hayashi, Ryohei Fujimaki
Factorized Asymptotic Bayesian Inference for Latent Feature Models. NIPS (2013)
Haruka Suematsu, Yunzhu Zheng, Takayuki Itoh, Ryohei Fujimaki, Satoshi Morinaga, Yoshinobu Kawahara
Arrangement of Low-Dimensional Parallel Coordinate Plots for High-Dimensional Data Visualization. IV (2013)
Ryohei Fujimaki, Kohei Hayashi
Factorized Asymptotic Bayesian Hidden Markov Models. ICML (2012)
Ryohei Fujimaki, Satoshi Morinaga
Factorized Asymptotic Bayesian Inference for Mixture Modeling. AISTATS (2012)
Ryohei Fujimaki, Kohei Hayashi
Factorized Asymptotic Bayesian Hidden Markov Models CoRR (2012)
Ryohei Fujimaki, Yasuhiro Sogawa, Satoshi Morinaga
Online heterogeneous mixture modeling with marginal and copula selection. KDD (2011)
Yukinobu Fukushima, Tutomu Murase, Masayoshi Kobayashi, Hiroki Fujiwara, Ryohei Fujimaki, Tokumi Yokohira
Multi-stage change-point detection scheme for large-scale simultaneous events. Comput. Commun. 34 (15) (2011)
Ryohei Fujimaki, Takayuki Nakata, Hidenori Tsukahara, Akinori Sato, Kenji Yamanishi
Mining abnormal patterns from heterogeneous time-series with irrelevant features for fault event detection. Stat. Anal. Data Min. 2 (1) (2009)
Ryohei Fujimaki, Satoshi Morinaga, Michinari Momma, Kenji Aoki, Takayuki Nakata
Linear Time Model Selection for Mixture of Heterogeneous Components. ACML (2009)
Shunsuke Hirose, Kenji Yamanishi, Takayuki Nakata, Ryohei Fujimaki
Network anomaly detection based on Eigen equation compression. KDD (2009)
Ryohei Fujimaki
Anomaly Detection Support Vector Machine and Its Application to Fault Diagnosis. ICDM (2008)
Ryohei Fujimaki, Shunsuke Hirose, Takayuki Nakata
Theorectical Analysis of Subsequence Time-Series Clustering from a Frequency-Analysis Viewpoint. SDM (2008)
Ryohei Fujimaki, Takayuki Nakata, Hidenori Tsukahara, Akinori Sato
Mining Abnormal Patterns from Heterogeneous Time-Series with Irrelevant Features for Fault Event Detection. SDM (2008)
Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida
An Anomaly Detection Method for Spacecraft Using Relevance Vector Learning. PAKDD (2005)
Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida
An approach to spacecraft anomaly detection problem using kernel feature space. KDD (2005)