ページの先頭です。
サイト内の現在位置を表示しています。
ここから本文です。

Recent Publication

データマイニンググループの研究成果のうち、近年トップレベルの国際会議等に採択・発表されたものを中心に掲載しています。過去の研究成果などに関しては、メールでお問い合わせください。

International Conference

  • Chunchen Liu, Feng Lu, Ryohei Fujimaki, Streaming Model Selection via Online Factorized Asymptotic Bayesian Inference, IEEE International Conference on Data Mining (ICDM), 2016
  • Ito and Fujimaki, "Large-scale Price Optimization via Network Flow", Annual Conference on Neural Information Processing Systems (NIPS), 2016.
  • Haichuan Yang, Ryohei Fujimaki, Yukitaka Kusumura, Ji Liu, "Online Feature Selection: A Limited-Memory Substitution Algorithm and its Asynchronous Parallel Variation", Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2016
  • Masato Asahara, Ryohei Fujimaki, "Big Data Heterogeneous Mixture Learning on Spark", Hadoop Summit San Jose, 2016.
  • Masato Asahara, Ryohei Fujimaki, "Distributed Heterogeneous Mixture Learning On Spark", Spark Summit 2016.
  • Jialei Wang, Ryohei Fujimaki, Yosuke Motohashi, “Trading Interpretability for Accuracy: Oblique Treed Sparse Additive Models”, Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2015
  • Chunchen Liu, Lu Feng, Ryohei Fujimaki, Yusuke Muraoka, “Scalable Model Selection for Large-Scale Factorial Relational Models”, Proceedings of the 28th international conference on machine learning (ICML), 2015
  • Kohei Hayashi, Shin-ichi Maeda, and Ryohei Fujimaki, “Rebuilding Factorized Information Criterion: Asymptotically Accurate Marginal Loglikelihood”, Proceedings of the 28th international conference on machine learning (ICML), 2015
  • Riki Eto, Ryohei Fujimaki, Satoshi Morinaga, Hiroshi Tamano, Fully-Automatic Bayesian Piecewise Sparse Linear Models, Proceedings of the 17th International Conference on Artificial Intelligence and Statistics (AISTATS), 2014.
  • D. Kong and R. Fujimaki, F. Nie, C. Ding, “Exclusive Feature Learning on Arbitrary Structures”, 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014. 
  • H. Oiwa and R. Fujimaki, “Partition-wise Linear Models”, 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014.
  • Ji Liu, Ryohei Fujimaki and Jieping Ye, “Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint”, Proceedings of the 27th international conference on machine learning (ICML), 2014.

International Workshop

  • Yusuke Muraoka, Ryohei Fujimaki and Issei Sato “Sparse Latent Dirichlet Allocation with Collapsed Factorized Asymptotic Bayesian Inference” Advances in Variational Inference in NIPS 2014 Workshop.

Domestic Journal

  • 藤巻遼平, 山口勇太郎, 江藤力, 因子化漸近ベイズ推論による区分疎線形判別, 人工知能学会論文誌31巻6号AI30-I, 2016 [pdf]
  • 藤巻遼平, 本橋洋介, 分析プロセス自動化・標準化への挑戦─実践に基づく考察, 情報処理学会デジタルプラクティス, vol.3, No.6, page 198-206, 2015.

お問い合わせ

ページの先頭へ戻る