Tensor Decomposition via Simultaneous Power Iteration. - Po-An Wang; Chi-Jen Lu (ICML, 2017)

Lifelong Optimization with Low Regret. - Yi-Shan Wu 001; Po-An Wang; Chi-Jen Lu (AISTATS, 2019)

An Optimal Algorithm in Multiplayer Multi-Armed Bandits. - Alexandre Proutière; Po-An Wang (CoRR, 2019)

Optimal Algorithms for Multiplayer Multi-Armed Bandits. - Po-An Wang; Alexandre Proutière; Kaito Ariu; Yassir Jedra; Alessio Russo (AISTATS, 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)

On Uniformly Optimal Algorithms for Best Arm Identification in Two-Armed Bandits with Fixed Budget. - Po-An Wang; Kaito Ariu; Alexandre Proutière (CoRR, 2023)

On Universally Optimal Algorithms for A/B Testing. - Po-An Wang; Kaito Ariu; Alexandre Proutière (ICML, 2024)

Fundamental Limits in Stochastic Bandits. - Po-An Wang (2024)

Policy Testing in Markov Decision Processes. - Kaito Ariu; Po-An Wang; Alexandre Proutière; Kenshi Abe (CoRR, 2025)