Ruo-Chun Tzeng

According to our database, Ruo-Chun Tzeng authored at least 9 papers between 2019 and 2024.

Collaborative distances:

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

2024

Efficient Learning in Graphs and in Combinatorial Multi-Armed Bandits.

Ruo-Chun Tzeng

PhD thesis, 2024

Matroid Semi-Bandits in Sublinear Time.

Ruo-Chun Tzeng, Naoto Ohsaka, Kaito Ariu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Best Arm Identification with Fixed Budget: A Large Deviation Perspective.

Po-An Wang, Ruo-Chun Tzeng, Alexandre Proutière

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Closing the Computational-Statistical Gap in Best Arm Identification for Combinatorial Semi-bandits.

Ruo-Chun Tzeng, Po-An Wang, Alexandre Proutière, Chi-Jen Lu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Improved analysis of randomized SVD for top-eigenvector approximation.

Ruo-Chun Tzeng, Po-An Wang, Florian Adriaens, Aristides Gionis, Chi-Jen Lu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Fast Pure Exploration via Frank-Wolfe.

Po-An Wang, Ruo-Chun Tzeng, Alexandre Proutière

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Discovering conflicting groups in signed networks.

Ruo-Chun Tzeng, Bruno Ordozgoiti, Aristides Gionis

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Ego-CNN: Distributed, Egocentric Representations of Graphs for Detecting Critical Structures.

Ruo-Chun Tzeng, Shan-Hung Wu

CoRR, 2019

Distributed, Egocentric Representations of Graphs for Detecting Critical Structures.

Ruo-Chun Tzeng, Shan-Hung Wu

Proceedings of the 36th International Conference on Machine Learning, 2019