Fukuchi Kazuto
- Conference, etc.
- 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 - クラウドセンシングにおける差分プライバシーを保証した線形回帰モデル学習
チャンクワンカイ; 福地一斗; 佐久間 淳
情報論的学習理論ワークショップ(IBIS2014)/2014-11-16--2014-11-19 - 教師あり学習における中立性指標のf-ダイバージェンスによる統一的理解
福地一斗; 佐久間 淳
情報論的学習理論ワークショップ(IBIS2014)/2014-11-16--2014-11-19
- 深層生成モデルによる弱パレート解集合の近似