Ryohei Fujimaki

43 papers A* 16A 5B 1C 2Journal 13Unranked 6

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