Shingo Takamatsu

According to our database, Shingo Takamatsu authored at least 15 papers between 2006 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Enhancing Generalization of Offline RL in Data-Limited Settings With Heuristic Rules.

Briti Gangopadhyay, Zhao Wang, Jia-Fong Yeh, Shingo Takamatsu

IEEE Trans. Artif. Intell., August, 2025

DesignLab: Designing Slides Through Iterative Detection and Correction.

Jooyeol Yun, Heng Wang, Yotaro Shimose, Jaegul Choo, Shingo Takamatsu

CoRR, July, 2025

Mirror in the Model: Ad Banner Image Generation via Reflective Multi-LLM and Multi-modal Agents.

Zhao Wang, Bowen Chen, Yotaro Shimose, Sota Moriyama, Heng Wang, Shingo Takamatsu

CoRR, July, 2025

OMS: On-the-fly, Multi-Objective, Self-Reflective Ad Keyword Generation via LLM Agent.

Bowen Chen, Zhao Wang, Shingo Takamatsu

CoRR, July, 2025

BannerAgency: Advertising Banner Design with Multimodal LLM Agents.

Heng Wang, Yotaro Shimose, Shingo Takamatsu

CoRR, March, 2025

Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems.

Zhao Wang, Sota Moriyama, Wei-Yao Wang, Briti Gangopadhyay, Shingo Takamatsu

CoRR, February, 2025

Adaptive Budget Optimization for Multichannel Advertising Using Combinatorial Bandits.

Briti Gangopadhyay, Zhao Wang, Alberto Silvio Chiappa, Shingo Takamatsu

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

OKG: On-the-Fly Keyword Generation in Sponsored Search Advertising.

Zhao Wang, Briti Gangopadhyay, Mengjie Zhao, Shingo Takamatsu

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Auto-bidding in real-time auctions via Oracle Imitation Learning (OIL).

Alberto Silvio Chiappa, Briti Gangopadhyay, Zhao Wang, Shingo Takamatsu

CoRR, 2024

Augmenting Offline RL with Unlabeled Data.

Zhao Wang, Briti Gangopadhyay, Jia-Fong Yeh, Shingo Takamatsu

CoRR, 2024

Integrating Domain Knowledge for handling Limited Data in Offline RL.

Briti Gangopadhyay, Zhao Wang, Jia-Fong Yeh, Shingo Takamatsu

CoRR, 2024

2014

Reducing Data Loading Bottleneck with Coarse Feature Vectors for Large Scale Learning.

Shingo Takamatsu, Carlos Guestrin

Proceedings of the 3rd International Workshop on Big Data, 2014

2012

Reducing Wrong Labels in Distant Supervision for Relation Extraction.

Shingo Takamatsu, Issei Sato, Hiroshi Nakagawa

Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011

Probabilistic Matrix Factorization Leveraging Contexts for Unsupervised Relation Extraction.

Shingo Takamatsu, Issei Sato, Hiroshi Nakagawa

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

2006

Localized Bayes Estimation for Non-identifiable Models.

Shingo Takamatsu, Shinichi Nakajima, Sumio Watanabe

Proceedings of the Neural Information Processing, 13th International Conference, 2006