土屋 平 / Taira Tsuchiya

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News

論文

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. 土屋 平
    "部分観測問題におけるThompson抽出,"
    東芝研究開発センターシンポジウム2020, Dec. 22, 2020.
    [slide]
  2. 土屋 平,本多 淳也,杉山 将,
    "部分観測問題におけるトンプソン抽出アルゴリズムの設計とリグレット解析,"
    Presented at 23rd Information-Based Induction Sciences Workshop (IBIS 2020), Nov. 23–26, 2020.
    優秀発表賞を受賞
    [slide]
  3. 土屋 平,本多 淳也,杉山 将,
    "経験リスク最小化による半教師付き順序回帰,"
    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.

研究助成

  1. ACT-X「数理・情報のフロンティア」,JST [link]
  2. 日本学術振興会特別研究員 (DC1),JSPS [link]
  3. AIPチャレンジプログラム,JST (Aug. 2019 – Mar. 2020)

受賞など

  1. 優秀発表賞,IBIS2020,2020 [link]
  2. Travel Award, NeurIPS 2020
  3. 東京大学トヨタ・ドワンゴ高度人工知能人材奨学金 (Apr. 2020 – Mar. 2021)
  4. 東京大学トヨタ・ドワンゴ高度人工知能人材奨学金 (Apr. 2019 – Mar. 2020)
  5. JEES・ソフトバンクAI人材育成奨学金 (Apr. 2019 – Mar. 2020)
  6. 学科賞,早稲田大学, 2018

Professional Activities (Reviewer)

Contact

© Taira Tsuchiya, Sep 27, 2021