Takuro Fukunaga

Research Scientist, RIKEN

Joined

February 2019

Names

Takuro Fukunaga (Preferred)

Emails

****@riken.jp (Confirmed)

****@g.chuo-u.ac.jp

Personal Links

Homepage

DBLP

Career & Education History

Research Scientist

RIKEN (riken.jp)

2017 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Regret Bounds for Online Portfolio Selection with a Cardinality Constraint
Shinji Ito, Daisuke Hatano, Hanna Sumita, Akihiro Yabe, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi
- 2018 (modified: 11 Nov 2022)
- NeurIPS 2018
- Readers: Everyone
Causal Bandits with Propagating Inference
Akihiro Yabe, Daisuke Hatano, Hanna Sumita, Shinji Ito, Naonori Kakimura, Takuro Fukunaga, Ken-ichi Kawarabayashi
- 2018 (modified: 11 Nov 2022)
- ICML 2018
- Readers: Everyone
Scalable Algorithm for Higher-Order Co-Clustering via Random Sampling
Daisuke Hatano, Takuro Fukunaga, Takanori Maehara, Ken-ichi Kawarabayashi
- 2017 (modified: 02 Mar 2020)
- AAAI 2017
- Readers: Everyone
Efficient Sublinear-Regret Algorithms for Online Sparse Linear Regression with Limited Observation
Shinji Ito, Daisuke Hatano, Hanna Sumita, Akihiro Yabe, Takuro Fukunaga, Naonori Kakimura, Ken-ichi Kawarabayashi
- 2017 (modified: 11 Nov 2022)
- NIPS 2017
- Readers: Everyone
Online Optimization of Video-Ad Allocation
Hanna Sumita, Yasushi Kawase, Sumio Fujita, Takuro Fukunaga
- 2017 (modified: 10 Nov 2022)
- IJCAI 2017
- Readers: Everyone
Adaptive Budget Allocation for Maximizing Influence of Advertisements
Daisuke Hatano, Takuro Fukunaga, Ken-ichi Kawarabayashi
- 2016 (modified: 16 Jul 2019)
- IJCAI 2016
- Readers: Everyone
Lagrangian Decomposition Algorithm for Allocating Marketing Channels
Daisuke Hatano, Takuro Fukunaga, Takanori Maehara, Ken-ichi Kawarabayashi
- 2015 (modified: 16 Jul 2019)
- AAAI 2015
- Readers: Everyone
Threshold Influence Model for Allocating Advertising Budgets
Atsushi Miyauchi, Yuni Iwamasa, Takuro Fukunaga, Naonori Kakimura
- 2015 (modified: 11 Nov 2022)
- ICML 2015
- Readers: Everyone