Fujimaki, Ryohei

15 publications

ICML 2018 Unbiased Objective Estimation in Predictive Optimization Shinji Ito, Akihiro Yabe, Ryohei Fujimaki

IJCAI 2017 Factorized Asymptotic Bayesian Policy Search for POMDPs Masaaki Imaizumi, Ryohei Fujimaki

ICML 2017 On the Projection Operator to a Three-View Cardinality Constrained Set Haichuan Yang, Shupeng Gui, Chuyang Ke, Daniel Stefankovic, Ryohei Fujimaki, Ji Liu

IJCAI 2017 Robust Quadratic Programming for Price Optimization Akihiro Yabe, Shinji Ito, Ryohei Fujimaki

NeurIPS 2017 Scalable Model Selection for Belief Networks Zhao Song, Yusuke Muraoka, Ryohei Fujimaki, Lawrence Carin

NeurIPS 2016 Large-Scale Price Optimization via Network Flow Shinji Ito, Ryohei Fujimaki

ICML 2015 Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Likelihood Kohei Hayashi, Shin-ichi Maeda, Ryohei Fujimaki

ICML 2015 Scalable Model Selection for Large-Scale Factorial Relational Models Chunchen Liu, Lu Feng, Ryohei Fujimaki, Yusuke Muraoka

NeurIPS 2014 Exclusive Feature Learning on Arbitrary Structures via $\ell_{1,2}$-Norm Deguang Kong, Ryohei Fujimaki, Ji Liu, Feiping Nie, Chris Ding

ICML 2014 Forward-Backward Greedy Algorithms for General Convex Smooth Functions over a Cardinality Constraint Ji Liu, Jieping Ye, Ryohei Fujimaki

AISTATS 2014 Fully-Automatic Bayesian Piecewise Sparse Linear Models Riki Eto, Ryohei Fujimaki, Satoshi Morinaga, Hiroshi Tamano

NeurIPS 2014 Partition-Wise Linear Models Hidekazu Oiwa, Ryohei Fujimaki

NeurIPS 2013 Factorized Asymptotic Bayesian Inference for Latent Feature Models Kohei Hayashi, Ryohei Fujimaki

ICML 2012 Factorized Asymptotic Bayesian Hidden Markov Models Ryohei Fujimaki, Kohei Hayashi

AISTATS 2012 Factorized Asymptotic Bayesian Inference for Mixture Modeling Ryohei Fujimaki, Satoshi Morinaga