Takuya Konishi

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 7

Top Topics

Gradient Boosting

Latent Topic Model

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Takuya Konishi, Yoshinobu Kawahara
Stable invariant models via Koopman spectra. Neural Networks 165 (2023)
Takuya Konishi, Yoshinobu Kawahara
Stable Invariant Models via Koopman Spectra. CoRR (2022)
Takuya Konishi, Takuro Fukunaga
End-to-End Learning for Prediction and Optimization with Gradient Boosting. ECML/PKDD (3) (2020)
Takuro Fukunaga, Takuya Konishi, Sumio Fujita, Ken-ichi Kawarabayashi
Stochastic Submodular Maximization with Performance-Dependent Item Costs. AAAI (2019)
Takuya Konishi, Takuya Ohwa, Sumio Fujita, Kazushi Ikeda, Kohei Hayashi
Extracting Search Query Patterns via the Pairwise Coupled Topic Model. WSDM (2016)
Kohei Hayashi, Takuya Konishi, Tatsuro Kawamoto
A Tractable Fully Bayesian Method for the Stochastic Block Model. CoRR (2016)
Takuya Konishi, Tomoharu Iwata, Kohei Hayashi, Ken-ichi Kawarabayashi
Identifying Key Observers to Find Popular Information in Advance. IJCAI (2016)
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) (2015)
Takuya Konishi, Fuminori Kimura, Akira Maeda
Topic Model for User Reviews with Adaptive Windows. ECIR (2013)