Distributed, Egocentric Representations of Graphs for Detecting Critical Structures. - Ruo-Chun Tzeng; Shan-Hung Wu (ICML, 2019)

Ego-CNN: Distributed, Egocentric Representations of Graphs for Detecting Critical Structures. - Ruo-Chun Tzeng; Shan-Hung Wu (CoRR, 2019)

Discovering conflicting groups in signed networks. - Ruo-Chun Tzeng; Bruno Ordozgoiti; Aristides Gionis (NeurIPS, 2020)

Fast Pure Exploration via Frank-Wolfe. - Po-An Wang; Ruo-Chun Tzeng; Alexandre Proutière (NeurIPS, 2021)

Improved analysis of randomized SVD for top-eigenvector approximation. - Ruo-Chun Tzeng; Po-An Wang; Florian Adriaens; Aristides Gionis; Chi-Jen Lu (AISTATS, 2022)

Closing the Computational-Statistical Gap in Best Arm Identification for Combinatorial Semi-bandits. - Ruo-Chun Tzeng; Po-An Wang; Alexandre Proutière; Chi-Jen Lu (NeurIPS, 2023)

Best Arm Identification with Fixed Budget: A Large Deviation Perspective. - Po-An Wang; Ruo-Chun Tzeng; Alexandre Proutière (NeurIPS, 2023)

Matroid Semi-Bandits in Sublinear Time. - Ruo-Chun Tzeng; Naoto Ohsaka; Kaito Ariu (ICML, 2024)

Efficient Learning in Graphs and in Combinatorial Multi-Armed Bandits. - Ruo-Chun Tzeng (2024)