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Recent Publications

International Conference

  • Zhao Song, Yusuke Muraoka, Ryohei Fujimaki, Lawrence Carin, Scalable Model Selection for Belief Networks, Thirty-first Annual Conference on Neural Information Processing Systems (NIPS), 2017
  • Shinji Ito, Daisuke Hatano, Hanna Sumita, Akihiro Yabe, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi, Efficient Sublinear-Regret Algorithms for Online Sparse Linear Regression with Limited Observation, Thirty-first Annual Conference on Neural Information Processing Systems (NIPS), 2017
  • Masafumi Oyamada, Shinji Nakadai, Relational Mixture of Experts: Explainable Demographics Prediction with Behavioral Data, IEEE International Conference on Data Mining (ICDM), 2017
  • 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
  • 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
  • Daniel Andrade, Kunihiko Sadamasa, Akihiro Tamura, and Masaaki Tsuchida. Cross-lingual Text Classification Using Topic-Dependent Word Probabilities. Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (HLT-NAACL). 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.
  • Aobo Wang, Min-Yen Kan, Daniel Andrade, Takashi Onishi, Kai Ishikawa, “Chinese Informal Word Normalization: an Experimental Study”, IJCNLP 2013.
  • Daniel Andrade, Masaaki Tsuchida, Takashi Onishi, Kai Ishikawa, “Synonym Acquisition Using Bilingual Comparable Corpora”, IJCNLP 2013.
  • Daniel Andrade, Masaaki Tsuchida, Takashi Onishi, Kai Ishikawa, “Translation Acquisition Using Synonym Sets”, NAACL 2013.

International Workshop

  • Daniel Andrade, Bing Bai, Ramkumar Rajendran and Yotaro Watanabe. Analogy-based Reasoning with Memory Networks for Future Prediction. In Proceedings of the Workshop on Cognitive Computation: Integrating Neural and Symbolic Approaches (CoCo) at NIPS 2016, Barcelona, Spain, 2016.
  • 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.
  • Daniel Andrade, Masaaki Tsuchida, Takashi Onishi, Kai Ishikawa, “Detecting Contradiction in Text by Using Lexical Mismatch and Structural Similarity”, NTCIR Workshop 10, 2013.

International Journal

  • Rajendran, R.; Iyer, S.; Murthy, S.; Wilson, C.; Sheard, J., “A Theory-Driven Approach to Predict Frustration in an ITS,”
    Learning Technologies, IEEE Transactions on, vol.6, no.4, pp.378-388, Oct.-Dec. 2013
  • Shohei Higashiyama, Mathieu Blondel, Kazuhiro Seki, and Kuniaki Uehara.
    Cost-Sensitive Structured Perception Incorporating Category Hierarchy for Named Entity Recognition. Journal of Information and Communication Technology (JICT), Vol. 14, May 2015.

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