FUKUCHI Kazuto

Researcher's full information

Conference, etc.

• Minimax Optimal Fair Regression under Linear Model
  Fukuchi Kazuto; Sakuma Jun
  NeurIPS 2022 Workshop: Algorithmic Fairness through the Lens of Causality and Privacy/2022-12-03
• Did You Use My GAN to Generate Fake? Post-hoc Attribution of GAN Generated Images via Latent Recovery
  Syou Hirofumi; Fukuchi Kazuto; Akimoto Yohei; Sakuma Jun
  International Joint Conference on Neural Networks/2022-07-18--2022-07-23
• 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
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