Fukuchi Kazuto

Researcher's full information

Conference, etc.
  • CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy
    Nishiyama Daiki; Fukuchi Kazuto; Akimoto Yohei; Sakuma Jun
    International Joint Conference on Neural Networks/2022-07-18--2022-07-23
  • Few-Shot Image-to-Semantics Translation for Policy Transfer in Reinforcement Learning
    Sato Rei; Akimoto Yohei; Fukuchi   Kazuto; Sakuma Jun
    International Joint Conference on Neural Networks/2022-07-18--2022-07-23
  • Black-Box Min–Max Continuous Optimization Using CMA-ES with Worst-case Ranking Approximation
    Miyagi Atsuhiro; Fukuchi Kazuto; Sakuma Jun; Akimoto Yohei
    Genetic and Evolutionary Computation Conference (GECCO ’22)/2022-07-09--2022-07-13
  • Domain Generalization via Adversarial Learned Novel Domains
    Yu Zhe; Fuchiku Kazuto; Akimoto Yohei; Sakuma Jun
    IEEE International Conference on Multimedia and Expo 2022/2022-07-18--2022-07-22
  • モデル化誤差に頑健な Max-Min Off-Policy Actor-Critic
    田邊 拓実; 福地 一斗; 佐久間 淳; 秋本 洋平
    2022年度人工知能学会全国大会(第36回)/2022-06-14--2022-6-17
  • (1+1)-Evolution Strategyの凸二次関数における収束速度の導出
    森永 大貴; 福地 一斗; 佐久間 淳; 秋本 洋平
    2021年度人工知能学会全国大会(第35回)/2021-06-08--2021-06-11
  • 複数の損失関数を用いた深層生成モデルの訓練と制約付きブラックボックス最適化への適用
    阪本 直気; 佐藤 怜; 福地 一斗; 佐久間 淳; 秋本 洋平
    2021年度人工知能学会全国大会(第35回)/2021-06-08--2021-06-11
  • 深層生成モデルによる弱パレート解集合の近似
    江戸 陽向; 濱田 直希; 福地 一斗; 佐久間 淳; 秋本 洋平
    2021年度人工知能学会全国大会(第35回)/2021-06-08--2021-06-11
  • Sequential Variational Autoencoderを用いたAngry Birdsのステージ生成
    田邊 拓実; 福地 一斗; 佐久間 淳; 秋本 洋平
    2021年度人工知能学会全国大会(第35回)/2021-06-08--2021-6-11
  • Unsupervised Causal Binary Concepts Discovery with VAE for Black-box Model Explanation
    Tran Thien Q.; Fukuchi Kazuto; Akimoto Yohei; Sakuma Jun
    36th AAAI Conference on Artificial Intelligence/2022-02-22--2022-03-01
  • Statistically Significant Pattern Mining with Ordinal Utility
    Tran Thien Q.; Fukuchi Kazuto; Akimoto Yohei; Sakuma Jun
    KDD '20: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining/2020-07-06--2020-07-10
  • Adaptive Scenario Subset Selection for Minimax Black-Box Continuous Optimization
    Miyagi Atsuhiro; Fukuchi Kazuto; Sakuma Jun; Akimoto Yohei
    GECCO '21/2021-07-10--2021-07-14
  • Level Generation for Angry Birds with Sequential VAE and Latent Variable Evolution
    Tanabe Takumi; Fukuchi Kazuto; Sakuma Jun; Akimoto Yohei
    GECCO '21/2021-07-10--2021-07-14
  • Convergence Rate of the (1+1)-Evolution Strategy with Success-Based Step-Size Adaptation on Convex Quadratic Function
    Morinaga Daiki; Fukuchi Kazuto; Sakuma Jun; Akimoto Yohei
    GECCO '21/2021-07-10--2021-07-14
  • Deep Generative Model for Non-convex Constraint Handling
    Sakamoto Naoki; Semmatsu Eiji; Fukuchi Kazuto; Sakuma ...
    Genetic and Evolutionary Computation Conference (GECCO)/2020-07-08--2020-07-12
  • Faking Fairness via Stealthily Biased Sampling
    Fukuchi Kazuto; Hara Satoshi; Maehara Takanori
    The Thirty-Fourth AAAI Conference on Artificial Intelligence/2020-02-07--2020-02-12
  • Minimax Optimal Estimation of Shannon Entropy-Type Additive Functional with Discrete Distribution
    福地 一斗; 佐久間 淳
    第41回情報理論とその応用シンポジウム (SITA2018)/2018-12-18--2018-12-21
  • Neutralized Empirical Risk Minimization with Generalization Neutrality Bound
    Fukuchi Kazuto; Sakuma Jun
    European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases/2014-09-15--2014-09-19
  • Prediction with Model-Based Neutrality
    Fukuchi Kazuto; Sakuma Jun; Toshihiro Kamishima
    European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases/2013-09-23--2013-09-27
  • Minimax Optimal Additive Functional Estimation with Discrete Distribution: Slow Divergence Speed Case
    Fukuchi Kazuto; Sakuma Jun
    IEEE International Symposium on Information Theory (ISIT)/2018-06-17--2018-06-22
  • Differentially Private Empirical Risk Minimization with Input Perturbation
    Fukuchi Kazuto; Tran Quang Khai; Sakuma Jun
    20th International Conference on Discovery Science (DS)/2017-10-15--2017-10-17
  • Minimax Optimal Estimators for Additive Scalar Functionals of Discrete Distributions
    Fukuchi Kazuto; Sakuma Jun
    IEEE International Symposium on Information Theory (ISIT)/2017-06-25--2017-06-30
  • 差分プライバシを保証した外れ値分析アルゴリズムの高速化
    佐久間 淳; 岡田莉奈; 福地一斗
    第19回情報論理的学習論と機械学習ワークショップ(IBISWS)/2015-11-27
  • 相互情報量の推定におけるMinimax最適推定量
    福地 一斗; 佐久間 淳
    第19回情報論理的学習論と機械学習ワークショップ(IBISWS)/2015-11-28
  • Differentially Private Analysis of Outliers
    Okada Rina; Fukuchi Kazuto; Sakuma Jun
    European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)/2015-09-07--2015-09-11
  • more...