Kashima, Hisashi

60 publications

WACV 2025 Federated Source-Free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data Junki Mori, Kosuke Kihara, Taiki Miyagawa, Akinori F. Ebihara, Isamu Teranishi, Hisashi Kashima

MLJ 2025 Scalable Individual Treatment Effect Estimator for Large Graphs Xiaofeng Lin, Han Bao, Yan Cui, Koh Takeuchi, Hisashi Kashima

MLJ 2025 Transfer Learning with Pre-Trained Conditional Generative Models Shin'ya Yamaguchi, Sekitoshi Kanai, Atsutoshi Kumagai, Daiki Chijiwa, Hisashi Kashima

NeurIPS 2024 Enhancing Chess Reinforcement Learning with Graph Representation Tomas Rigaux, Hisashi Kashima

MLJ 2024 InfoCEVAE: Treatment Effect Estimation with Hidden Confounding Variables Matching Shonosuke Harada, Hisashi Kashima

MLJ 2024 Learning State Importance for Preference-Based Reinforcement Learning Guoxi Zhang, Hisashi Kashima

CVPR 2024 Understanding and Improving Source-Free Domain Adaptation from a Theoretical Perspective Yu Mitsuzumi, Akisato Kimura, Hisashi Kashima

AAAI 2023 Behavior Estimation from Multi-Source Data for Offline Reinforcement Learning Guoxi Zhang, Hisashi Kashima

ECML-PKDD 2023 Estimating Treatment Effects Under Heterogeneous Interference Xiaofeng Lin, Guoxi Zhang, Xiaotian Lu, Han Bao, Koh Takeuchi, Hisashi Kashima

NeurIPS 2023 Regularizing Neural Networks with Meta-Learning Generative Models Shin'ya Yamaguchi, Daiki Chijiwa, Sekitoshi Kanai, Atsutoshi Kumagai, Hisashi Kashima

ECML-PKDD 2022 Batch Reinforcement Learning from Crowds Guoxi Zhang, Hisashi Kashima

MLJ 2022 Bayesian Optimization with Partially Specified Queries Shogo Hayashi, Junya Honda, Hisashi Kashima

MLJ 2022 Context-Aware Spatio-Temporal Event Prediction via Convolutional Hawkes Processes Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Takeshi Kurashima, Hiroyuki Toda, Hisashi Kashima

UAI 2022 Feature Selection for Discovering Distributional Treatment Effect Modifiers Yoichi Chikahara, Makoto Yamada, Hisashi Kashima

AAAI 2022 Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations Sein Minn, Jill-Jênn Vie, Koh Takeuchi, Hisashi Kashima, Feida Zhu

ICML 2022 Re-Evaluating Word Mover’s Distance Ryoma Sato, Makoto Yamada, Hisashi Kashima

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

AISTATS 2021 Regret Minimization for Causal Inference on Large Treatment Space Akira Tanimoto, Tomoya Sakai, Takashi Takenouchi, Hisashi Kashima

ECML-PKDD 2021 Crowdsourcing Evaluation of Saliency-Based XAI Methods Xiaotian Lu, Arseny Tolmachev, Tatsuya Yamamoto, Koh Takeuchi, Seiji Okajima, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima

ECML-PKDD 2021 Inter-Domain Multi-Relational Link Prediction Luu Huu Phuc, Koh Takeuchi, Seiji Okajima, Arseny Tolmachev, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima

ECML-PKDD 2020 Counterfactual Propagation for Semi-Supervised Individual Treatment Effect Estimation Shonosuke Harada, Hisashi Kashima

ICML 2020 Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance Yasutoshi Ida, Sekitoshi Kanai, Yasuhiro Fujiwara, Tomoharu Iwata, Koh Takeuchi, Hisashi Kashima

NeurIPS 2020 Fast Unbalanced Optimal Transport on a Tree Ryoma Sato, Makoto Yamada, Hisashi Kashima

IJCAI 2020 Performance as a Constraint: An Improved Wisdom of Crowds Using Performance Regularization Jiyi Li, Yasushi Kawase, Yukino Baba, Hisashi Kashima

ACML 2019 Active Change-Point Detection Shogo Hayashi, Yoshinobu Kawahara, Hisashi Kashima

NeurIPS 2019 Approximation Ratios of Graph Neural Networks for Combinatorial Problems Ryoma Sato, Makoto Yamada, Hisashi Kashima

NeurIPS 2019 Fast Sparse Group Lasso Yasutoshi Ida, Yasuhiro Fujiwara, Hisashi Kashima

AAAI 2019 Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing Jill-Jênn Vie, Hisashi Kashima

ACML 2019 Learning to Sample Hard Instances for Graph Algorithms Ryoma Sato, Makoto Yamada, Hisashi Kashima

NeurIPS 2019 Theoretical Evidence for Adversarial Robustness Through Randomization Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cedric Gouy-Pailler, Jamal Atif

AAAI 2018 AdaFlock: Adaptive Feature Discovery for Human-in-the-Loop Predictive Modeling Ryusuke Takahama, Yukino Baba, Nobuyuki Shimizu, Sumio Fujita, Hisashi Kashima

AAAI 2018 Data Analysis Competition Platform for Educational Purposes: Lessons Learned and Future Challenges Yukino Baba, Tomoumi Takase, Kyohei Atarashi, Satoshi Oyama, Hisashi Kashima

AAAI 2018 Predictive Modeling of Learning Continuation in Preschool Education Using Temporal Patterns of Development Tests Junpei Naito, Yukino Baba, Hisashi Kashima, Takenori Takaki, Takuya Funo

IJCAI 2018 Simultaneous Clustering and Ranking from Pairwise Comparisons Jiyi Li, Yukino Baba, Hisashi Kashima

ECML-PKDD 2017 Distributed Multi-Task Learning for Sensor Network Jiyi Li, Tomohiro Arai, Yukino Baba, Hisashi Kashima, Shotaro Miwa

AAAI 2017 Learning Implicit Tasks for Patient-Specific Risk Modeling in ICU Nozomi Nori, Hisashi Kashima, Kazuto Yamashita, Susumu Kunisawa, Yuichi Imanaka

AAAI 2017 Pairwise HITS: Quality Estimation from Pairwise Comparisons in Creator-Evaluator Crowdsourcing Process Takeru Sunahase, Yukino Baba, Hisashi Kashima

AAAI 2017 Predicting Fuel Consumption and Flight Delays for Low-Cost Airlines Yuji Horiguchi, Yukino Baba, Hisashi Kashima, Masahito Suzuki, Hiroki Kayahara, Jun Maeno

ECML-PKDD 2017 Robust Multi-View Topic Modeling by Incorporating Detecting Anomalies Guoxi Zhang, Tomoharu Iwata, Hisashi Kashima

NeurIPS 2016 Budgeted Stream-Based Active Learning via Adaptive Submodular Maximization Kaito Fujii, Hisashi Kashima

IJCAI 2016 Progressive Comparison for Ranking Estimation Ryusuke Takahama, Toshihiro Kamishima, Hisashi Kashima

COLT 2015 Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem Junpei Komiyama, Junya Honda, Hisashi Kashima, Hiroshi Nakagawa

ICML 2014 Latent Confusion Analysis by Normalized Gamma Construction Issei Sato, Hisashi Kashima, Hiroshi Nakagawa

IJCAI 2013 Accurate Integration of Crowdsourced Labels Using Workers' Self-Reported Confidence Scores Satoshi Oyama, Yukino Baba, Yuko Sakurai, Hisashi Kashima

AAAI 2013 Clustering Crowds Hiroshi Kajino, Yuta Tsuboi, Hisashi Kashima

AAAI 2012 A Convex Formulation for Learning from Crowds Hiroshi Kajino, Yuta Tsuboi, Hisashi Kashima

ICML 2012 Fast Computation of Subpath Kernel for Trees Daisuke Kimura, Hisashi Kashima

AAAI 2012 Multinomial Relation Prediction in Social Data: A Dimension Reduction Approach Nozomi Nori, Danushka Bollegala, Hisashi Kashima

AAAI 2011 Fast Newton-CG Method for Batch Learning of Conditional Random Fields Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Okazaki

NeurIPS 2011 Statistical Performance of Convex Tensor Decomposition Ryota Tomioka, Taiji Suzuki, Kohei Hayashi, Hisashi Kashima

ECML-PKDD 2011 Tensor Factorization Using Auxiliary Information Atsuhiro Narita, Kohei Hayashi, Ryota Tomioka, Hisashi Kashima

ICML 2010 A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices Ryota Tomioka, Taiji Suzuki, Masashi Sugiyama, Hisashi Kashima

ECML-PKDD 2010 Fast and Scalable Algorithms for Semi-Supervised Link Prediction on Static and Dynamic Graphs Rudy Raymond, Hisashi Kashima

ICML 2010 Nonparametric Return Distribution Approximation for Reinforcement Learning Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka

UAI 2010 Parametric Return Density Estimation for Reinforcement Learning Tetsuro Morimura, Masashi Sugiyama, Hisashi Kashima, Hirotaka Hachiya, Toshiyuki Tanaka

NeurIPS 2007 Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashima, Paul V. Buenau, Motoaki Kawanabe

NeurIPS 2007 Multi-Task Learning via Conic Programming Tsuyoshi Kato, Hisashi Kashima, Masashi Sugiyama, Kiyoshi Asai

ICML 2004 Kernel-Based Discriminative Learning Algorithms for Labeling Sequences, Trees, and Graphs Hisashi Kashima, Yuta Tsuboi

ICML 2003 Marginalized Kernels Between Labeled Graphs Hisashi Kashima, Koji Tsuda, Akihiro Inokuchi

ICML 2002 Kernels for Semi-Structured Data Hisashi Kashima, Teruo Koyanagi