Fujino, Akinori

12 publications

ICML 2025 Guided Zeroth-Order Methods for Stochastic Non-Convex Problems with Decision-Dependent Distributions Yuya Hikima, Hiroshi Sawada, Akinori Fujino

ICML 2025 K$^2$IE: Kernel Method-Based Kernel Intensity Estimators for Inhomogeneous Poisson Processes Hideaki Kim, Tomoharu Iwata, Akinori Fujino

AISTATS 2021 Learning Individually Fair Classifier with Path-Specific Causal-Effect Constraint Yoichi Chikahara, Shinsaku Sakaue, Akinori Fujino, Hisashi Kashima

ICML 2021 Asynchronous Decentralized Optimization with Implicit Stochastic Variance Reduction Kenta Niwa, Guoqiang Zhang, W. Bastiaan Kleijn, Noboru Harada, Hiroshi Sawada, Akinori Fujino

AAAI 2020 Semi-Supervised Learning for Maximizing the Partial AUC Tomoharu Iwata, Akinori Fujino, Naonori Ueda

IJCAI 2018 Causal Inference in Time Series via Supervised Learning Yoichi Chikahara, Akinori Fujino

NeurIPS 2016 Higher-Order Factorization Machines Mathieu Blondel, Akinori Fujino, Naonori Ueda, Masakazu Ishihata

ICML 2016 Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms Mathieu Blondel, Masakazu Ishihata, Akinori Fujino, Naonori Ueda

ECML-PKDD 2015 Convex Factorization Machines Mathieu Blondel, Akinori Fujino, Naonori Ueda

IJCAI 2013 Statistical Parsing with Probabilistic Symbol-Refined Tree Substitution Grammars Hiroyuki Shindo, Yusuke Miyao, Akinori Fujino, Masaaki Nagata

IJCAI 2007 Semi-Supervised Learning for Multi-Component Data Classification Akinori Fujino, Naonori Ueda, Kazumi Saito

AAAI 2005 A Hybrid Generative/Discriminative Approach to Semi-Supervised Classifier Design Akinori Fujino, Naonori Ueda, Kazumi Saito