Publications

2017

  1. Jitkrittum, W., Xu, W., Szabo, Z., Fukumizu, K., and Gretton, A. 2017. A Linear-Time Kernel Goodness-of-Fit Test. arXiv:1705.07673 [cs, stat].
    @article{jitkrittum_linear-time_2017,
      title = {A Linear-Time Kernel Goodness-of-Fit Test},
      url = {http://arxiv.org/abs/1705.07673},
      journal = {arXiv:1705.07673 [cs, stat]},
      author = {Jitkrittum, Wittawat and Xu, Wenkai and Szabo, Zoltan and Fukumizu, Kenji and Gretton, Arthur},
      year = {2017},
      note = {arXiv: 1705.07673},
      keywords = {46E22, 62G10, Computer Science - Learning, G.3, I.2.6, Statistics - Machine Learning},
      wj_http = {http://arxiv.org/abs/1705.07673},
      wj_code = {https://github.com/wittawatj/kernel-gof}
    }
    
    
  2. Jitkrittum, W., Szabó, Z., and Gretton, A. 2017. An Adaptive Test of Independence with Analytic Kernel Embeddings. Proceedings of the 34th International Conference on Machine Learning, PMLR, 1742–1751.
    @inproceedings{pmlr-v70-jitkrittum17a,
      title = {An Adaptive Test of Independence with Analytic Kernel Embeddings},
      author = {Jitkrittum, Wittawat and Szab{\'o}, Zolt{\'a}n and Gretton, Arthur},
      booktitle = {Proceedings of the 34th International Conference on Machine Learning},
      pages = {1742--1751},
      year = {2017},
      editor = {Precup, Doina and Teh, Yee Whye},
      volume = {70},
      series = {Proceedings of Machine Learning Research},
      address = {International Convention Centre, Sydney, Australia},
      month = {06--11 Aug},
      publisher = {PMLR},
      pdf = {http://proceedings.mlr.press/v70/jitkrittum17a/jitkrittum17a.pdf},
      url = {http://proceedings.mlr.press/v70/jitkrittum17a.html},
      wj_http = {http://proceedings.mlr.press/v70/jitkrittum17a.html},
      wj_code = {https://github.com/wittawatj/fsic-test},
      wj_slides = {/assets/talks/fsic_icml2017_oral.pdf},
      wj_poster = {/assets/poster/fsic_icml2017_poster.pdf}
    }
    
    

2016

  1. Iigaya, K., Jolivald, A., Jitkrittum, W., et al. 2016. Cognitive Bias in Ambiguity Judgements: Using Computational Models to Dissect the Effects of Mild Mood Manipulation in Humans. PLOS ONE.
    @article{iigaya2016,
      title = {Cognitive Bias in Ambiguity Judgements: Using Computational Models to Dissect the Effects of Mild Mood Manipulation in Humans},
      author = {Iigaya, Kiyohito and Jolivald, Aurelie and Jitkrittum, Wittawat and Gilchrist, Iain and Dayan, Peter and Paul, Elizabeth and Mendl, Michael},
      year = {2016},
      month = oct,
      journal = {PLOS ONE},
      issn = {1932-6203},
      publisher = {Public Library of Science},
      wj_http = {http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0165840}
    }
    
    
  2. Jitkrittum, W., Szabó, Z., Chwialkowski, K., and Gretton, A. 2016. Interpretable Distribution Features with Maximum Testing Power. NIPS.
    @inproceedings{fotest2016,
      author = {Jitkrittum, Wittawat and Szab\'{o}, Zolt\'{a}n and Chwialkowski, Kacper and Gretton, Arthur},
      title = {Interpretable Distribution Features with Maximum Testing Power},
      booktitle = {NIPS},
      year = {2016},
      url = {http://papers.nips.cc/paper/6148-interpretable-distribution-features-with-maximum-testing-power},
      wj_http = {http://papers.nips.cc/paper/6148-interpretable-distribution-features-with-maximum-testing-power},
      wj_poster = {/assets/poster/fotest_poster.pdf},
      wj_code = {https://github.com/wittawatj/interpretable-test},
      wj_talk = {https://channel9.msdn.com/Events/Neural-Information-Processing-Systems-Conference/Neural-Information-Processing-Systems-Conference-NIPS-2016/Interpretable-Distribution-Features-with-Maximum-Testing-Power},
      wj_slides = {/assets/talks/fotest_oral.pdf}
    }
    
    
  3. Park, M., Jitkrittum, W., and Sejdinovic, D. 2016. K2-ABC: Approximate Bayesian Computation with Infinite Dimensional Summary Statistics via Kernel Embeddings. AISTATS.
    @inproceedings{part_k2abc_2015_arxiv,
      author = {Park, Mijung and Jitkrittum, Wittawat and Sejdinovic, Dino},
      title = {{K2-ABC}: Approximate {B}ayesian Computation with Infinite Dimensional Summary Statistics via Kernel Embeddings},
      booktitle = {AISTATS},
      year = {2016},
      url = {http://jmlr.org/proceedings/papers/v51/park16.html},
      wj_http = {http://jmlr.org/proceedings/papers/v51/park16.html},
      wj_poster = {/assets/poster/k2abc_AISTATS2016_poster.pdf},
      wj_code = {https://github.com/wittawatj/k2abc},
      wj_slides = {/assets/talks/k2abc_AISTATS2016.pdf}
    }
    
    

2015

  1. Park, M., Jitkrittum, W., Qamar, A., Szabó, Z., Buesing, L., and Sahani, M. 2015. Bayesian Manifold Learning: The Locally Linear Latent Variable Model. NIPS.
    @inproceedings{Park2015,
      author = {Park, Mijung and Jitkrittum, Wittawat and Qamar, Ahmad and Szab\'{o}, Zolt\'{a}n and Buesing, Lars and Sahani, Maneesh},
      title = {Bayesian Manifold Learning: The Locally Linear Latent Variable Model},
      booktitle = {NIPS},
      year = {2015},
      url = {http://arxiv.org/abs/1410.6791},
      wj_http = {http://arxiv.org/abs/1410.6791},
      wj_code = {https://github.com/mijungi/lllvm},
      wj_slides = {/assets/talks/csml_lllvm.pdf}
    }
    
    
  2. Jitkrittum, W., Gretton, A., Heess, N., et al. 2015. Kernel-Based Just-In-Time Learning for Passing Expectation Propagation Messages. UAI.
    @inproceedings{jitkrittum_kernel-based_2015,
      title = {Kernel-Based Just-In-Time Learning for Passing Expectation Propagation Messages},
      author = {Jitkrittum, Wittawat and Gretton, Arthur and Heess, Nicolas and Eslami, S. M. Ali and Lakshminarayanan, Balaji and Sejdinovic, Dino and Szab\'{o}, Zolt\'{a}n},
      url = {http://arxiv.org/abs/1503.02551},
      booktitle = {UAI},
      year = {2015},
      wj_http = {http://arxiv.org/abs/1503.02551},
      wj_poster = {/assets/poster/kjit_uai2015_poster.pdf},
      wj_code = {https://github.com/wittawatj/kernel-ep}
    }
    
    

2014

  1. Yamada, M., Jitkrittum, W., Sigal, L., Xing, E.P., and Sugiyama, M. 2014. High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso. Neural Computation 26, 1, 185–207.
    @article{YamadaJSXS14,
      author = {Yamada, Makoto and Jitkrittum, Wittawat and Sigal, Leonid and Xing, Eric P. and Sugiyama, Masashi},
      title = {High-Dimensional Feature Selection by Feature-Wise Kernelized
                     Lasso},
      journal = {Neural Computation},
      volume = {26},
      number = {1},
      year = {2014},
      pages = {185-207},
      url = {http://www.mitpressjournals.org/doi/abs/10.1162/NECO_a_00537#.U9O7Idtsylg},
      wj_http = {http://www.mitpressjournals.org/doi/abs/10.1162/NECO_a_00537#.U9O7Idtsylg},
      wj_code = {http://www.makotoyamada-ml.com/hsiclasso.html}
    }
    
    

2013

  1. Jitkrittum, W., Hachiya, H., and Sugiyama, M. 2013. Feature Selection via L1-Penalized Squared-Loss Mutual Information. IEICE Transactions 96-D, 7, 1513–1524.
    @article{Jitkrittum2013,
      author = {Jitkrittum, Wittawat and Hachiya, Hirotaka and Sugiyama, Masashi},
      title = {Feature Selection via L1-Penalized Squared-Loss Mutual Information},
      journal = {IEICE Transactions},
      year = {2013},
      volume = {96-D},
      pages = {1513-1524},
      number = {7},
      wj_pdf = {http://wittawat.com/pages/files/L1LSMI.pdf},
      wj_code = {https://github.com/wittawatj/l1lsmi}
    }
    
    
  2. Niu, G., Jitkrittum, W., Dai, B., Hachiya, H., and Sugiyama, M. 2013. Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning. ICML, JMLR W & CP, 10–18.
    @inproceedings{Niu2013,
      author = {Niu, Gang and Jitkrittum, Wittawat and Dai, Bo and Hachiya, Hirotaka and Sugiyama, Masashi},
      title = {Squared-loss Mutual Information Regularization: A Novel Information-theoretic
      	Approach to Semi-supervised Learning},
      booktitle = { ICML, JMLR W \& CP},
      year = {2013},
      volume = {28},
      pages = {10-18},
      url = {http://jmlr.org/proceedings/papers/v28/niu13.pdf},
      wj_pdf = {http://jmlr.org/proceedings/papers/v28/niu13.pdf},
      wj_code = {https://github.com/wittawatj/smir}
    }
    
    

2009

  1. Jitkrittum, W., Haruechaiyasak, C., and Theeramunkong, T. 2009. QAST: Question Answering System for Thai Wikipedia. Proceedings of the 2009 Workshop on Knowledge and Reasoning for Answering Questions, Association for Computational Linguistics, 11–14.
    @inproceedings{Jitkrittum2009,
      author = {Jitkrittum, Wittawat and Haruechaiyasak, Choochart and Theeramunkong, Thanaruk},
      title = {{QAST}: Question Answering System for {Thai} Wikipedia},
      booktitle = {Proceedings of the 2009 Workshop on Knowledge and Reasoning for Answering
        Questions},
      year = {2009},
      series = {KRAQ '09},
      pages = {11--14},
      publisher = {Association for Computational Linguistics},
      url = {http://dl.acm.org/citation.cfm?id=1697288.1697291},
      wj_http = {http://dl.acm.org/citation.cfm?id=1697288.1697291}
    }
    
    

2008

  1. Haruechaiyasak, C., Jitkrittum, W., Sangkeettrakarn, C., and Damrongrat, C. 2008. Implementing News Article Category Browsing Based on Text Categorization Technique. Web Intelligence/IAT Workshops, 143–146.
    @inproceedings{Haruechaiyasak2008,
      author = {Haruechaiyasak, Choochart and Jitkrittum, Wittawat and Sangkeettrakarn, Chatchawal and Damrongrat, Chaianun},
      title = {Implementing News Article Category Browsing Based on Text Categorization
        Technique},
      booktitle = {Web Intelligence/IAT Workshops},
      year = {2008},
      pages = {143-146},
      ee = {http://dx.doi.org/10.1109/WIIAT.2008.61},
      wj_http = {http://dx.doi.org/10.1109/WIIAT.2008.61}
    }
    
    

2007

  1. Haruechaiyasak, C., Sangkeettrakarn, C., and Jitkrittum, W. 2007. Managing Offline Educational Web Contents with Search Engine Tools. ICADL, 444–453.
    @inproceedings{Haruechaiyasak2007,
      author = {Haruechaiyasak, Choochart and Sangkeettrakarn, Chatchawal and Jitkrittum, Wittawat},
      title = {Managing Offline Educational Web Contents with Search Engine Tools},
      booktitle = {ICADL},
      year = {2007},
      pages = {444-453},
      ee = {http://dx.doi.org/10.1007/978-3-540-77094-7_56},
      wj_http = {http://dx.doi.org/10.1007/978-3-540-77094-7_56}
    }