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Takuya Konishi
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2020 – today
- 2023
- [j2]Takuya Konishi, Yoshinobu Kawahara:
Stable invariant models via Koopman spectra. Neural Networks 165: 393-405 (2023) - 2022
- [i2]Takuya Konishi, Yoshinobu Kawahara:
Stable Invariant Models via Koopman Spectra. CoRR abs/2207.07475 (2022) - 2020
- [c5]Takuya Konishi, Takuro Fukunaga:
End-to-End Learning for Prediction and Optimization with Gradient Boosting. ECML/PKDD (3) 2020: 191-207
2010 – 2019
- 2019
- [c4]Takuro Fukunaga, Takuya Konishi, Sumio Fujita, Ken-ichi Kawarabayashi:
Stochastic Submodular Maximization with Performance-Dependent Item Costs. AAAI 2019: 1485-1494 - 2016
- [c3]Takuya Konishi, Tomoharu Iwata, Kohei Hayashi, Ken-ichi Kawarabayashi:
Identifying Key Observers to Find Popular Information in Advance. IJCAI 2016: 3761-3767 - [c2]Takuya Konishi, Takuya Ohwa, Sumio Fujita, Kazushi Ikeda, Kohei Hayashi:
Extracting Search Query Patterns via the Pairwise Coupled Topic Model. WSDM 2016: 655-664 - [i1]Kohei Hayashi, Takuya Konishi, Tatsuro Kawamoto:
A Tractable Fully Bayesian Method for the Stochastic Block Model. CoRR abs/1602.02256 (2016) - 2015
- [j1]Takuya Konishi, Takatomi Kubo, Kazuho Watanabe, Kazushi Ikeda:
Variational Bayesian Inference Algorithms for Infinite Relational Model of Network Data. IEEE Trans. Neural Networks Learn. Syst. 26(9): 2176-2181 (2015) - 2013
- [c1]Takuya Konishi, Fuminori Kimura, Akira Maeda:
Topic Model for User Reviews with Adaptive Windows. ECIR 2013: 730-733
Coauthor Index
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