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Honda, Junya

Graduate School of Informatics, Department of Systems Science Associate Professor

Honda, Junya
list
    Last Updated :2022/05/14

    Basic Information

    Faculty

    • 工学部

    Academic Degree

    • 修士(情報理工学)(東京大学)
    • 博士(科学)(東京大学)

    Academic Resume (Graduate Schools)

    • 東京大学, 大学院情報理工学系研究科数理情報学専攻修士課程, 修了
    • 東京大学, 大学院新領域創成科学研究科複雑理工学専攻博士課程, 修了

    Academic Resume (Undergraduate School/Majors)

    • 東京大学, 工学部計数工学科, 卒業

    ID,URL

    researchmap URL

    list
      Last Updated :2022/05/14

      Research

      Papers

      • Time-varying Gaussian Process Bandit Optimization with Non-constant Evaluation Time.
        Hideaki Imamura; Nontawat Charoenphakdee; Futoshi Futami; Issei Sato; Junya Honda; Masashi Sugiyama
        CoRR, 2020, Peer-reviewed
      • A bad arm existence checking problem: How to utilize asymmetric problem structure?
        Tabata, Koji; Nakamura, Atsuyoshi; Honda, Junya; Komatsuzaki, Tamiki
        MACHINE LEARNING, Oct. 2019, Peer-reviewed
      • Good arm identification via bandit feedback
        Hideaki Kano; Junya Honda; Kentaro Sakamaki; Kentaro Matsuura; Atsuyoshi Nakamura; Masashi Sugiyama
        MACHINE LEARNING, May 2019, Peer-reviewed
      • A Bad Arm Existence Checking Problem.
        Koji Tabata; Atsuyoshi Nakamura; Junya Honda; Tamiki Komatsuzaki
        CoRR, 2019, Peer-reviewed
      • Uncoupled Regression from Pairwise Comparison Data.
        Liyuan Xu; Junya Honda; Gang Niu; Masashi Sugiyama
        2019, Peer-reviewed
      • On the Calibration of Multiclass Classification with Rejection.
        Chenri Ni; Nontawat Charoenphakdee; Junya Honda; Masashi Sugiyama
        2019, Peer-reviewed
      • Learning from Positive and Unlabeled Data with a Selection Bias.
        Masahiro Kato; Takeshi Teshima; Junya Honda
        2019, Peer-reviewed
      • Unsupervised Domain Adaptation Based on Source-Guided Discrepancy
        Seiichi Kuroki; Nontawat Charoenphakdee; Han Bao; Junya Honda; Issei Sato; Masashi Sugiyama
        THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2019, Peer-reviewed
      • Dueling Bandits with Qualitative Feedback
        Liyuan Xu; Junya Honda; Masashi Sugiyama
        THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2019, Peer-reviewed
      • Exploring a potential energy surface by machine learning for characterizing atomic transport
        Kanamori, Kenta; Toyoura, Kazuaki; Honda, Junya; Hattori, Kazuki; Seko, Atsuto; Karasuyama, Masayuki; Shitara, Kazuki; Shiga, Motoki; Kuwabara, Akihide; Takeuchi, Ichiro
        PHYSICAL REVIEW B, Mar. 2018, Peer-reviewed
      • Nonconvex Optimization for Regression with Fairness Constraints.
        Junpei Komiyama; Akiko Takeda; Junya Honda; Hajime Shimao
        2018, Peer-reviewed
      • A fully adaptive algorithm for pure exploration in linear bandits.
        Liyuan Xu; Junya Honda; Masashi Sugiyama
        2018, Peer-reviewed
      • Normal Bandits of Unknown Means and Variances
        Cowan, Wesley; Honda, Junya; Katehakis, Michael N.
        JOURNAL OF MACHINE LEARNING RESEARCH, 2018, Peer-reviewed
      • Exact Asymptotics of Random Coding Error Probability for General Memoryless Channels
        Honda, Junya
        2018 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), 2018, Peer-reviewed
      • Worst-case Redundancy of Optimal Binary AIFV Codes and Their Extended Codes
        Hu, Weihua; Yamamoto, Hirosuke; Honda, Junya
        IEEE TRANSACTIONS ON INFORMATION THEORY, Aug. 2017, Peer-reviewed
      • Variable-to-Fixed Length Homophonic Coding Suitable for Asymmetric Channel Coding
        Honda, Junya; Yamamoto, Hirosuke
        2017 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), 2017, Peer-reviewed
      • Position-based Multiple-play Bandit Problem with Unknown Position Bias.
        Junpei Komiyama; Junya Honda; Akiko Takeda
        ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 30 (NIPS 2017), 2017, Peer-reviewed
      • Copeland Dueling Bandit Problem: Regret Lower Bound, Optimal Algorithm, and Computationally Efficient Algorithm.
        Junpei Komiyama; Junya Honda; Hiroshi Nakagawa
        2016, Peer-reviewed
      • Variable-to-Fixed Length Homophonic Coding with a Modified Shannon-Fano-Flias Code
        Honda, Junya; Yamamoto, Hirosuke
        PROCEEDINGS OF 2016 INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY AND ITS APPLICATIONS (ISITA 2016), 2016, Peer-reviewed
      • Tight Upper Bounds on the Redundancy of Optimal Binary AIFV Codes
        Hu, Weihua; Yamamoto, Hirosuke; Honda, Junya
        2016 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY, 2016, Peer-reviewed
      • Non-Asymptotic Analysis of a New Bandit Algorithm for Semi-Bounded Reward
        Honda, Junya; Takemura, Akimichi
        JOURNAL OF MACHINE LEARNING RESEARCH, Dec. 2015, Peer-reviewed
      • Almost Instantaneous Fixed-to-Variable Length Codes
        Yamamoto, Hirosuke; Tsuchihashi, Masato; Honda, Junya
        IEEE TRANSACTIONS ON INFORMATION THEORY, Dec. 2015, Peer-reviewed
      • Optimal Regret Analysis of Thompson Sampling in Stochastic Multi-armed Bandit Problem with Multiple Plays.
        Junpei Komiyama; Junya Honda; Hiroshi Nakagawa
        2015, Peer-reviewed
      • Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem.
        Junpei Komiyama; Junya Honda; Hisashi Kashima; Hiroshi Nakagawa
        2015, Peer-reviewed
      • Exact Asymptotics for the Random Coding Error Probability
        Honda, Junya
        2015 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), 2015, Peer-reviewed
      • Regret Lower Bound and Optimal Algorithm in Finite Stochastic Partial Monitoring
        Komiyama, Junpei; Honda, Junya; Nakagawa, Hiroshi
        ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 28 (NIPS 2015), 2015, Peer-reviewed
      • FV Polar Coding for Lossy Compression with an Improved Exponent
        Wang, Runxin; Honda, Junya; Yamamoto, Hirosuke; Liu, Rongke
        2015 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), 2015, Peer-reviewed
      • Construction of Polar Codes for Channels with Memory
        Wang, Runxin; Honda, Junya; Yamamoto, Hirosuke; Liu, Rongke; Hou, Yi
        2015 IEEE INFORMATION THEORY WORKSHOP - FALL (ITW), 2015, Peer-reviewed
      • Variable Length Lossy Coding Using an LDPC Code
        Honda, Junya; Yamamoto, Hirosuke
        IEEE TRANSACTIONS ON INFORMATION THEORY, Jan. 2014, Peer-reviewed
      • Optimality of Thompson Sampling for Gaussian Bandits Depends on Priors
        Honda, Junya; Takemura, Akimichi
        ARTIFICIAL INTELLIGENCE AND STATISTICS, VOL 33, 2014, Peer-reviewed
      • RSA Meets DPA: Recovering RSA Secret Keys from Noisy Analog Data
        Kunihiro, Noboru; Honda, Junya
        CRYPTOGRAPHIC HARDWARE AND EMBEDDED SYSTEMS - CHES 2014, 2014, Peer-reviewed
      • Polar Coding Without Alphabet Extension for Asymmetric Models
        Honda, Junya; Yamamoto, Hirosuke
        IEEE TRANSACTIONS ON INFORMATION THEORY, Dec. 2013, Peer-reviewed
      • Stochastic bandit based on empirical moments
        Junya Honda; Akimichi Takemura
        Journal of Machine Learning Research, 2012, Peer-reviewed
      • Polar Coding without Alphabet Extension for Asymmetric Channels
        Honda, Junya; Yamamoto, Hirosuke
        2012 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY PROCEEDINGS (ISIT), 2012, Peer-reviewed
      • Fast Linear-Programming Decoding of LDPC Codes over GF(2(m))
        Honda, Junya; Yamamoto, Hirosuke
        2012 INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY AND ITS APPLICATIONS (ISITA 2012), 2012, Peer-reviewed
      • An asymptotically optimal policy for finite support models in the multiarmed bandit problem
        Honda, Junya; Takemura, Akimichi
        MACHINE LEARNING, Dec. 2011, Peer-reviewed
      • An asymptotically optimal bandit algorithm for bounded support models
        Junya Honda; Akimichi Takemura
        COLT 2010 - The 23rd Conference on Learning Theory, 2010, Peer-reviewed
      • Variable Length Lossy Coding using an LDPC Code
        Honda, Junya; Yamamoto, Hirosuke
        2009 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY, VOLS 1- 4, 2009, Peer-reviewed
      • Application of LCLP to Lossy Source Coding
        Miyake, Shigeki; Honda, Junya; Yamamoto, Hirosuke
        2008 INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY AND ITS APPLICATIONS, VOLS 1-3, 2008, Peer-reviewed

      Misc.

      • Bad Arm Existence Checking Algorithms with Small Sample Complexity
        田畑 公次; 中村 篤祥; 本多 淳也; 小松崎 民樹
        人工知能基本問題研究会, 16 Mar. 2018
      • Source Coding with LDPC Code using Linear Programming
        HONDA Junya; MIYAKE Shigeki; YAMAMOTO Hirosuke; MARUYAMA Mitsuru
        IEICE technical report, 17 Jul. 2008

      Books and Other Publications

      External funds: Kakenhi

      • バンディット問題における最適性達成のためのランダム方策の発展と解析
        Grant-in-Aid for Scientific Research (C)
        Basic Section 60010:Theory of informatics-related
        Kyoto University
        本多 淳也
        From 01 Apr. 2021, To 31 Mar. 2024, Granted
        機械学習;情報理論
      • Construction of knowledge discovery algorithms based on information theoretic methods
        Grant-in-Aid for Early-Career Scientists
        Basic Section 60010:Theory of informatics-related
        Kyoto University;The University of Tokyo
        Junya Honda
        From 01 Apr. 2018, To 31 Mar. 2021, Project Closed
        機械学習;情報理論;バンディット問題
      • 確率モデルに基づいた結晶構造の学習および推定法の確立
        Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
        Science and Engineering
        The University of Tokyo
        本多 淳也
        From 01 Apr. 2016, To 31 Mar. 2018, Project Closed
        機械学習;実験計画法;材料探索;材料科学;計算物理
      • 効率的な材料探索のための実験計画法の開発
        Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
        Science and Engineering
        The University of Tokyo
        本多 淳也
        From 01 Apr. 2014, To 31 Mar. 2016, Project Closed
        機械学習
      • 多腕バンディット問題における最適戦略の構成と発展
        Grant-in-Aid for Research Activity Start-up
        The University of Tokyo
        本多 淳也
        From 30 Aug. 2013, To 31 Mar. 2015, Declined
        機械学習;統計学;多腕バンディット問題
      list
        Last Updated :2022/05/14

        Education

        Teaching subject(s)

        • From Apr. 2021, To Mar. 2022
          Mathematical theory of information and communications
          Fall, 工学部
        • From Apr. 2021, To Mar. 2022
          Stochastic Discrete Event Systems
          Spring, 工学部
        • From Apr. 2021, To Mar. 2022
          Systems Science, Advanced II
          Fall, 情報学研究科
        • From Apr. 2021, To Mar. 2022
          Systems Science, Advanced I
          Spring, 情報学研究科
        • From Apr. 2021, To Mar. 2022
          Statistical Systems Theory
          Spring, 情報学研究科
        list
          Last Updated :2022/05/14

          Administration

          Faculty management (title, position)

          • From 01 Apr. 2021, To 31 Mar. 2022
            広報WG委員

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