Taira Tsuchiya

Japanese version is here

I am a first-year Ph.D. student at Kyoto University, advised by Prof. Junya Honda, and a member of Mathematical System Theory group. My research interest includes a wide range of statistical learning theories, especially on the theory of online decision making.

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** Contact: scse.taira [at] gmail.com (tsuchiya [at] ms.k.u-tokyo.ac.jp is NOT available.)

News

Publications

Conference Proceedings (peer-reviewed)

  1. Taira Tsuchiya, Junya Honda, and Masashi Sugiyama,
    "Analysis and Design of Thompson Sampling for Stochastic Partial Monitoring,"
    In Advances in Neural Information Processing Systems 33 (NeurIPS 2020), pp.8861–8871, Dec. 2020.
    [proceeding] [full paper (pdf)] [arXiv] [poster]
  2. Taira Tsuchiya, Naohiro Tawara, Tetsuji Ogawa, and Tetsunori Kobayashi,
    "Speaker Invariant Feature Extraction for Zero-Resource Languages with Adversarial Learning,"
    In Proceedings of 2018 IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP 2018), pp.2381–2385, April 2018.
    [preprint] [paper]

Journal Papers (peer-reviewed)

  1. Taira Tsuchiya, Nontawat Charoenphakdee, Issei Sato, and Masashi Sugiyama,
    "Semi-Supervised Ordinal Regression Based on Empirical Risk Minimization,"
    Neural Computation, xx(x):xxxx-xxxx, 2021.
    [arXiv]

Others (invited talks / domestic conferences / domestic proceedings / workshops)

  1. Taira Tsuchiya
    "Thompson Sampling for Partial Monitoring,"
    Toshiba Sympsium 2020, Dec. 22, 2020.
  2. Taira Tsuchiya, Junya Honda, and Masashi Sugiyama,
    "Analysis and Design of Thompson Sampling for Stochastic Partial Monitoring,"
    Presented at 23rd Information-Based Induction Sciences Workshop (IBIS 2020), Nov. 23–26, 2020.
    Recieved outstanding presentation award.
  3. Taira Tsuchiya, Nontawat Charoenphakdee, Issei Sato, and Masashi Sugiyama,
    "Semi-Supervised Ordinal Regression Based on Empirical Risk Minimization,"
    Presented at 22nd Information-Based Induction Sciences Workshop (IBIS 2019), Nov. 20–23, 2019.
  4. Taira Tsuchiya, Tomoharu Iwata, and Tetsuji Ogawa,
    "Transformed Multiple Matrix Factorization: Towards Utilizing Heterogeneous Auxiliary Information,"
    In Proceedings of Information-Based Induction Sciences and Machine Learning Workshop, vol.117, no.475, pp.41–48, March 2018.
  5. Naohiro Tawara, Taira Tsuchiya, Tetsuji Ogawa, and Tetsunori Kobayashi,
    "Speaker Feature Extraction using Adversarial Training,"
    In Proceedings of 2018 Spring Meeting of Acoustic Society of Japan (ASJ 2018), pp.141–144, March 2018.
  6. Taira Tsuchiya, Naohiro Tawara, Tetsuji Ogawa, and Tetsunori Kobayashi,
    "Adversarial Multi-Task Learning for Extracting Speaker Invariant Feature for Zero-Resource Languages,"
    In Proceedings of 2018 Spring Meeting of Acoustic Society of Japan (ASJ 2018), pp.9–12, March 2018.

Grants

  1. ACT-X, JST [link]
  2. JSPS Research Fellowship for Young Scientists (DC1), JSPS [link]
  3. AIP Challenge Program, JST (Aug. 2019 – Mar. 2020)

Awards

  1. Outstanding Presentation Award, IBIS2020, 2020 [link]
  2. Travel Award, NeurIPS 2020
  3. UTokyo Toyota-Dwango AI Scholarship (Apr. 2020 – Mar. 2021)
  4. UTokyo Toyota-Dwango AI Scholarship (Apr. 2019 – Mar. 2020)
  5. JEES-Softbank AI Scholarship (Apr. 2019 – Mar. 2020)
  6. Department Award, Waseda University, 2018

Professional Activities (Reviewer)

Contact

© Taira Tsuchiya, Sep 27, 2021