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Hisashi Kashima

The University of Tokyo

Inter-domain Multi-relational Link Prediction


Jul 09, 2021
Luu Huu Phuc, Koh Takeuchi, Seiji Okajima, Arseny Tolmachev, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima

* Camera-ready version, ECML-PKDD 2021 

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Crowdsourcing Evaluation of Saliency-based XAI Methods


Jun 27, 2021
Xiaotian Lu, Arseny Tolmachev, Tatsuya Yamamoto, Koh Takeuchi, Seiji Okajima, Tomoyoshi Takebayashi, Koji Maruhashi, Hisashi Kashima

* 16 pages, 7 figures, 2 tables, Accepted for ECML-PKDD 2021 

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Dynamic Hawkes Processes for Discovering Time-evolving Communities' States behind Diffusion Processes


Jun 06, 2021
Maya Okawa, Tomoharu Iwata, Yusuke Tanaka, Hiroyuki Toda, Takeshi Kurashima, Hisashi Kashima

* 11 pages, Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '21) 

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Re-evaluating Word Mover's Distance


May 30, 2021
Ryoma Sato, Makoto Yamada, Hisashi Kashima


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Computationally Efficient Wasserstein Loss for Structured Labels


Mar 01, 2021
Ayato Toyokuni, Sho Yokoi, Hisashi Kashima, Makoto Yamada


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Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference


Feb 08, 2021
Koh Takeuchi, :, Ryo Nishida, :, Hisashi Kashima, :, Masaki Onishi


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Poincare: Recommending Publication Venues via Treatment Effect Estimation


Oct 19, 2020
Ryoma Sato, Makoto Yamada, Hisashi Kashima


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GraphITE: Estimating Individual Effects of Graph-structured Treatments


Sep 29, 2020
Shonosuke Harada, Hisashi Kashima


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Chemical Property Prediction Under Experimental Biases


Sep 18, 2020
Yang Liu, Hisashi Kashima


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CrowDEA: Multi-view Idea Prioritization with Crowds


Aug 17, 2020
Yukino Baba, Jiyi Li, Hisashi Kashima

* Accepted in HCOMP 2020 

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Regret Minimization for Causal Inference on Large Treatment Space


Jun 10, 2020
Akira Tanimoto, Tomoya Sakai, Takashi Takenouchi, Hisashi Kashima


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Fast Unbalanced Optimal Transport on Tree


Jun 04, 2020
Ryoma Sato, Makoto Yamada, Hisashi Kashima

* 20 pages 

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Counterfactual Propagation for Semi-Supervised Individual Treatment Effect Estimation


May 11, 2020
Shonosuke Harada, Hisashi Kashima


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Random Features Strengthen Graph Neural Networks


Mar 15, 2020
Ryoma Sato, Makoto Yamada, Hisashi Kashima


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Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces


Feb 08, 2020
Ryoma Sato, Marco Cuturi, Makoto Yamada, Hisashi Kashima


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Approximation Ratios of Graph Neural Networks for Combinatorial Problems


May 24, 2019
Ryoma Sato, Makoto Yamada, Hisashi Kashima


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Topological Bayesian Optimization with Persistence Diagrams


Feb 26, 2019
Tatsuya Shiraishi, Tam Le, Hisashi Kashima, Makoto Yamada


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Learning to Find Hard Instances of Graph Problems


Feb 26, 2019
Ryoma Sato, Makoto Yamada, Hisashi Kashima


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Theoretical evidence for adversarial robustness through randomization: the case of the Exponential family


Feb 04, 2019
Rafael Pinot, Laurent Meunier, Alexandre Araujo, Hisashi Kashima, Florian Yger, Cédric Gouy-Pailler, Jamal Atif


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Constant Time Graph Neural Networks


Jan 23, 2019
Ryoma Sato, Makoto Yamada, Hisashi Kashima


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Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing


Nov 15, 2018
Jill-Jênn Vie, Hisashi Kashima

* 8 pages, 3 figures, 7 tables, to appear at the 33th AAAI Conference on Artificial Intelligence (AAAI-19) 

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BayesGrad: Explaining Predictions of Graph Convolutional Networks


Jul 04, 2018
Hirotaka Akita, Kosuke Nakago, Tomoki Komatsu, Yohei Sugawara, Shin-ichi Maeda, Yukino Baba, Hisashi Kashima


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Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem


Jun 29, 2015
Junpei Komiyama, Junya Honda, Hisashi Kashima, Hiroshi Nakagawa

* 26 pages, 10 figures, to appear in COLT2015 (ver.3: revised related work (RUCB)) 

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Fast Computation of Subpath Kernel for Trees


Jun 18, 2012
Daisuke Kimura, Hisashi Kashima

* ICML2012 

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