About Me

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奥野 （ おくの ） 彰文 （ あきふみ ） （情報学博士）

統計数理研究所 統計思考院 助教 / 理研AIP 数理統計学チーム 客員研究員 兼任

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okuno[at]ism.ac.jp
〒190-0014 東京都立川市緑町10-3

@public_aokn

Akifumi OKUNO (Doctor of Informatics)

Assistant professor at the Institute of Statistical Mathematics (ISM) / visiting scientist of math. stat. team in RIKEN AIP.

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okuno[at]ism.ac.jp
Midori-machi 10-3, Tachikawa, Tokyo, Japan. Postal code: 190-0014.

@public_aokn

Recent Activities

  • New paper entitled "Dependence of variance on covariate design in nonparametric link regression" (joint work with K. Yano) has been published on arXiv:2012.13106. (Dec. 25th, 2020)
  • I have transferred to school of statistical thinking, the institute of statistical mathematics. (Oct. 1st, 2020)
  • Our paper entitled "Extrapolation Towards Imaginary 0-Nearest Neighbour and Its Improved Convergence Rate" (joint work with H. Shimodaira) has been accepted to NeurIPS2020! (Sep. 26th, 2020)

Publications

Preprints
  1. Akifumi Okuno and Keisuke Yano. "Dependence of variance on covariate design in nonparametric link regression," submitted. 24 pages.
    arXiv:2012.13106
  2. Morihiro Mizutani, Akifumi Okuno, Geewook Kim and Hidetoshi Shimodaira. "Stochastic Neighbor Embedding of Multimodal Relational Data for Image-Text Simultaneous Visualization," submitted. 20 pages.
    arXiv:2005.00670

Journal Paper (Refereed)
  1. Akifumi Okuno and Hidetoshi Shimodaira. "Hyperlink Regression via Bregman Divergence," Neural Networks, June 2020, Volume 126, pages 362-383.
    Paper arXiv:1908.02573

Conference Papers (Refereed)
  1. Akifumi Okuno and Hidetoshi Shimodaira. "Extrapolation Towards Imaginary 0-Nearest Neighbour and Its Improved Convergence Rate," to appear in NeurIPS2020!
    Pre-proceedings arXiv:2002.03054
  2. Geewook Kim, Akifumi Okuno, Kazuki Fukui, and Hidetoshi Shimodaira. "Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities," Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI), 2019, pages 5031-5038.
    Proceedings arXiv:1902.10409
  3. Akifumi Okuno and Hidetoshi Shimodaira. "Robust Graph Embedding with Noisy Link Weights." 22nd International Conference on Artificial Intelligence and Statistics (AISTATS), Okinawa, Japan, 2019, PMLR 89:664-673.
    Proceedings arXiv:1902.08440
  4. Akifumi Okuno, Geewook Kim, and Hidetoshi Shimodaira. "Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability," 22nd International Conference on Artificial Intelligence and Statistics (AISTATS), Okinawa, Japan, 2019, PMLR 89:644-653.
    Proceedings arXiv:1810.03463
  5. Akifumi Okuno, Tetsuya Hada, and Hidetoshi Shimodaira. "A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks," 35th International Conference on Machine Learning (ICML), Stockholm, Sweden, 2018, PMLR 80:3888-3897.
    Proceedings arXiv:1802.04630 (selected for long talk)
  6. Kazuki Fukui, Akifumi Okuno, and Hidetoshi Shimodaira. "Image and tag retrieval by leveraging image-group links with multi-domain graph embedding," Proceedings of the 2016 IEEE International Conference on Image Processing (ICIP), Phoenix, AZ, USA, 2016, pp. 221-225. doi: 10.1109/ICIP.2016.7532351.
    Paper
IJCAI, AISTATS, ICML and NeurIPS are selected as priorized 21 international academic conferences in Google AI Talent Report 2019.

Miscellaneous
Click here to expand:

Presentations

Invited talks are also listed in my CV. In the following lists, ◯ represents the presenter, and my name is underlined. The following lists exclude above publications.

International Conferences and Meetings
  1. ◯Akifumi Okuno. Extrapolation Towards Imaginary 0-Nearest Neighbour and Its Improved Convergence Rate (author talk, joint work with H. Shimodaira), at NeurIPS meetup in Japan, online, in Dec., 2020. Oral.
  2. ◯Akifumi Okuno. Bregman Hyperlink Regression and Its Expressive Power (invited, joint work with H. Shimodaira and G. Kim), at ACML 2019 Workshop on Statistics and Machine Learning Researchers in Japan, Nagoya, Japan, in Nov., 2019. Oral.
  3. ◯Akifumi Okuno. Hyperlink Regression via Bregman Divergence. (joint work with H. Shimodaira), at RIKEN-AIP workshop, Genoa, Italy. September, 2019. Poster.
  4. ◯Akifumi Okuno. Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability. (invited, joint work with H. Shimodaira and G. Kim) Workshop on Functional Inference and Machine Intelligence, Tokyo, Japan. March, 2019. Oral.
  5. ◯Akifumi Okuno and Hidetoshi Shimodaira. Leveraging local data structure for multi-view analysis with many-to-many associations, Conference of the International Federation of Classification Societies (IFCS), Tokyo, Japan. August, 2017. Poster.
  6. ◯Tetsuya Hada, Akifumi Okuno and Hidetoshi Shimodaira. Deep Multi-view Representation Learning Based on Adaptive Weighted Similarity, First International Workshop on Symbolic-Neural Learning (SNL), Nagoya, Japan. August, 2017. [Abstract] Oral.
  7. ◯Akifumi Okuno and Hidetoshi Shimodaira. Statistical consistency of multi-view correlation analysis with many-to-many associations, Joint Statistical Meeting (JSM), Baltimore, USA. August, 2017. [Abstract] Poster.
  8. ◯Akifumi Okuno and Hidetoshi Shimodaira. Robust Multi-view Graph Embedding, International Conference on Robust Statistics (ICoRS), Wollongong, Australia. July, 2017. [slides] Oral.
  9. ◯Akifumi Okuno and Hidetoshi Shimodaira. Robust cross-domain matching: Analyzing multi-domain data vectors under mismatched associations. Machine Learning Summer School 2015, Kyoto University, Kyoto, Japan. August, 2015. Poster.

Domestic Conferences and Meetings

日本語での発表一覧．主に

ほか大学や研究所のセミナーなどに時々参加しています．

Awards

  • Nov. 2019. Excellent Presentation Award from IBISML2019.
  • Feb. 2019. Excellent Research Award from ICT-13 held in Kyoto Unviersity.
  • May 2017. Full Repayment Exemption of JASSO Type-I Scholarship (2,000,000JPY≈20,000USD) for Students with Excellent Grades from Japan Student Services Organization (JASSO).
  • Mar. 2017. Excellent Presentation Award from Japan Statistical Society.
  • Mar. 2016. Graduate School of Engineering Science Award (Graduated Top of the List) from the Divison of Mathematical Science, Osaka University.
  • Mar. 2014. Engineering Science Department Award (Graduated Top of the List) from Mathematical Science Course, Osaka University.
  • Mar. 2010. Kimura Award from Ritsumeikan Academy.
  • Dec. 2007. Asahi Shimbun Award from JSEC2007.

Misc.

Amazon wish list of books represents my interests.

Datasets: UCI Machine Learning Repository KEEL Data Set Repository kaggle Open Datasets Open Data on AWS Awesome Public Datasets List of datasets for ML research (wikipedia) arXiv Times (Datasets) Google Dataset Search MSR Open Data

Calenders: wikiCFP (Machine Learning) AI Conference Deadlines International Conferences in AI, ML, CV and DM ML+CompBio Conference Deadlines World Conference Calendar

Time-zone converter: timeanddata.com

Bookstores: Springer Link Book Depository 四方堂書店