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ORCIDRyohei Fujimaki
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2010 – 2019
- 2019
[j7]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): 409-421 (2019)- [j6]Masato Asahara
, Ryohei Fujimaki:
An Empirical Study on Distributed Bayesian Approximation Inference of Piecewise Sparse Linear Models. IEEE Trans. Parallel Distributed Syst. 30(7): 1481-1493 (2019) - 2018
- [c30]Shinji Ito, Akihiro Yabe, Ryohei Fujimaki:
Unbiased Objective Estimation in Predictive Optimization. ICML 2018: 2181-2190 - [c29]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: 567-575 - 2017
- [j5]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): 239-268 (2017) - [c28]Masato Asahara, Ryohei Fujimaki:
Distributed Bayesian piecewise sparse linear models. IEEE BigData 2017: 883-888 - [c27]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: 3871-3880 - [c26]Masaaki Imaizumi, Ryohei Fujimaki:
Factorized Asymptotic Bayesian Policy Search for POMDPs. IJCAI 2017: 4346-4352 - [c25]Akihiro Yabe, Shinji Ito, Ryohei Fujimaki:
Robust Quadratic Programming for Price Optimization. IJCAI 2017: 4648-4654 - [c24]Shinji Ito, Ryohei Fujimaki:
Optimization Beyond Prediction: Prescriptive Price Optimization. KDD 2017: 1833-1841 - [c23]Zhao Song, Yusuke Muraoka, Ryohei Fujimaki, Lawrence Carin:
Scalable Model Selection for Belief Networks. NIPS 2017: 4609-4619 - [i6]Haichuan Yang, Shupeng Gui, Chuyang Ke, Daniel Stefankovic, Ryohei Fujimaki, Ji Liu:
On The Projection Operator to A Three-view Cardinality Constrained Set. CoRR abs/1703.07345 (2017) - [i5]Masato Asahara, Ryohei Fujimaki:
Distributed Bayesian Piecewise Sparse Linear Models. CoRR abs/1711.02368 (2017) - 2016
- [c22]Chunchen Liu, Lu Feng, Ryohei Fujimaki:
Streaming Model Selection via Online Factorized Asymptotic Bayesian Inference. ICDM 2016: 271-280 - [c21]Haichuan Yang, Ryohei Fujimaki, Yukitaka Kusumura, Ji Liu:
Online Feature Selection: A Limited-Memory Substitution Algorithm and Its Asynchronous Parallel Variation. KDD 2016: 1945-1954 - [c20]Shinji Ito, Ryohei Fujimaki:
Large-Scale Price Optimization via Network Flow. NIPS 2016: 3855-3863 - [i4]Shinji Ito, Ryohei Fujimaki:
Optimization Beyond Prediction: Prescriptive Price Optimization. CoRR abs/1605.05422 (2016) - 2015
- [j4]Michiaki Hamada, Yukiteru Ono, Ryohei Fujimaki, Kiyoshi Asai:
Learning chromatin states with factorized information criteria. Bioinform. 31(15): 2426-2433 (2015) - [j3]Yunzhu Zheng, Haruka Suematsu, Takayuki Itoh, Ryohei Fujimaki, Satoshi Morinaga, Yoshinobu Kawahara:
Scatterplot layout for high-dimensional data visualization. J. Vis. 18(1): 111-119 (2015) - [c19]Chunchen Liu, Lu Feng, Ryohei Fujimaki, Yusuke Muraoka:
Scalable Model Selection for Large-Scale Factorial Relational Models. ICML 2015: 1227-1235 - [c18]Kohei Hayashi, Shin-ichi Maeda, Ryohei Fujimaki:
Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood. ICML 2015: 1358-1366 - [c17]Jialei Wang, Ryohei Fujimaki, Yosuke Motohashi:
Trading Interpretability for Accuracy: Oblique Treed Sparse Additive Models. KDD 2015: 1245-1254 - [i3]Kohei Hayashi, Shin-ichi Maeda, Ryohei Fujimaki:
Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood. CoRR abs/1504.05665 (2015) - 2014
- [c16]Riki Eto, Ryohei Fujimaki, Satoshi Morinaga, Hiroshi Tamano:
Fully-Automatic Bayesian Piecewise Sparse Linear Models. AISTATS 2014: 238-246 - [c15]Ji Liu, Jieping Ye, Ryohei Fujimaki:
Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint. ICML 2014: 503-511 - [c14]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: 1655-1663 - [c13]Hidekazu Oiwa, Ryohei Fujimaki:
Partition-wise Linear Models. NIPS 2014: 3527-3535 - [i2]Hidekazu Oiwa, Ryohei Fujimaki:
Partition-wise Linear Models. CoRR abs/1410.8675 (2014) - 2013
- [c12]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: 59-65 - [c11]Kohei Hayashi, Ryohei Fujimaki:
Factorized Asymptotic Bayesian Inference for Latent Feature Models. NIPS 2013: 1214-1222 - 2012
- [c10]Ryohei Fujimaki, Kohei Hayashi:
Factorized Asymptotic Bayesian Hidden Markov Models. ICML 2012 - [c9]Ryohei Fujimaki, Satoshi Morinaga:
Factorized Asymptotic Bayesian Inference for Mixture Modeling. AISTATS 2012: 400-408 - [i1]Ryohei Fujimaki, Kohei Hayashi:
Factorized Asymptotic Bayesian Hidden Markov Models. CoRR abs/1206.4679 (2012) - 2011
- [j2]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): 1810-1821 (2011) - [c8]Ryohei Fujimaki, Yasuhiro Sogawa, Satoshi Morinaga:
Online heterogeneous mixture modeling with marginal and copula selection. KDD 2011: 645-653
2000 – 2009
- 2009
- [j1]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): 1-17 (2009) - [c7]Ryohei Fujimaki, Satoshi Morinaga, Michinari Momma, Kenji Aoki, Takayuki Nakata:
Linear Time Model Selection for Mixture of Heterogeneous Components. ACML 2009: 82-97 - [c6]Shunsuke Hirose, Kenji Yamanishi, Takayuki Nakata, Ryohei Fujimaki:
Network anomaly detection based on Eigen equation compression. KDD 2009: 1185-1194 - 2008
- [c5]Ryohei Fujimaki:
Anomaly Detection Support Vector Machine and Its Application to Fault Diagnosis. ICDM 2008: 797-802 - [c4]Ryohei Fujimaki, Takayuki Nakata, Hidenori Tsukahara, Akinori Sato:
Mining Abnormal Patterns from Heterogeneous Time-Series with Irrelevant Features for Fault Event Detection. SDM 2008: 472-482 - [c3]Ryohei Fujimaki, Shunsuke Hirose, Takayuki Nakata:
Theorectical Analysis of Subsequence Time-Series Clustering from a Frequency-Analysis Viewpoint. SDM 2008: 506-517 - 2005
- [c2]Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida:
An approach to spacecraft anomaly detection problem using kernel feature space. KDD 2005: 401-410 - [c1]Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida:
An Anomaly Detection Method for Spacecraft Using Relevance Vector Learning. PAKDD 2005: 785-790
Coauthor Index
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