Naoyuki Terashita, Satoshi Hara.
Variance Reduction of Stochastic Hypergradient Estimation by Mixed Fixed-Point Iteration
Transactions on Machine Learning Research, 2025.
Daisuke Hatano, Satoshi Hara, Hiromi Arai.
Path-Specific Counterfactual Fairness via Dividend Correction
Transactions on Machine Learning Research, 2025.
Taichi Tomono, Satoshi Hara, Junko Iida, Takashi Washio.
Enhancing constituent estimation in nucleic acid mixture models using spectral annealing inference and MS/MS information
Frontiers in Analytical Science (Chemometrics), 5, 2025.
Naoyuki Terashita, Hiroki Ohashi, Satoshi Hara.
Data Cleansing for GANs
IEEE Transactions on Neural Networks and Learning Systems, 2025.
Kentaro Kanamori, Ken Kobayashi, Satoshi Hara, Takuya Takagi.
Algorithmic Recourse for Long-Term Improvement
In Proceedings of the 42nd International Conference on Machine Learning (ICML'25), 2025.
原聡.
説明可能AIとその信頼性
応用統計学, 54 (1):101-112, 2025.
黒木瑛介, 原聡.
大域的および局所的説明を両立する決定木集合の構築
2025年度人工知能学会全国大会(JSAI2025), 2025.
田中哲生, 吉本達也, 原聡.
指定クラス間の誤分類を減らす学習法
2025年度人工知能学会全国大会(JSAI2025), 2025.
Takahiro Kajisa
Quantum Scalar Field Theoretic Extension of Boltzmann Machines to Solve a Class of Moment Matching Problems
SQAI-NCTS Workshop on Quantum Technologies and Machine Learning, 2025.
Satoshi Hara
A Bandit Approach to Discriminating Two Unknown Quantum States
SQAI-NCTS Workshop on Quantum Technologies and Machine Learning, 2025.
Satoshi Hara, Mitsuru Matsuura, Junya Honda, Shinji Ito.
Active Model Selection: A Variance Minimization Approach
Special Issue for ACML 2024, Machine Learning, 2024.
Yudai Yamamoto, Satoshi Hara.
Fast Stealthily Biased Sampling Using Sliced Wasserstein Distance
In Proceedings of the 16th Asian Conference on Machine Learning (ACML'24), 2024. Best Paper Award
寺下直行, 原聡.
低分散で省メモリな勾配推定のためのForward Gradientと誤差逆伝播法の結合
第38回人工知能学会全国大会, 2024.
山本雄大, 原聡.
スライスワッサースタイン距離を用いた高速なStealthily Biased Sampling
第38回人工知能学会全国大会, 2024.
2023年以前の研究成果は 原の個人ページ をご覧ください。