An explore-then-commit algorithm for submodular maximization under full-bandit feedback. - Guanyu Nie; Mridul Agarwal; Abhishek Kumar Umrawal; Vaneet Aggarwal; Christopher John Quinn (UAI, 2022)

A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback. - Guanyu Nie; Yididiya Y. Nadew; Yanhui Zhu; Vaneet Aggarwal; Christopher John Quinn (ICML, 2023)

Size-constrained k-submodular maximization in near-linear time. - Guanyu Nie; Yanhui Zhu; Yididiya Y. Nadew; Samik Basu 001; A. Pavan 001; Christopher John Quinn (UAI, 2023)

Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints. - Guanyu Nie; Vaneet Aggarwal; Christopher J. Quinn (NeurIPS, 2024)

Hammer: Robust Function-Calling for On-Device Language Models via Function Masking. - Qiqiang Lin; Muning Wen; Qiuying Peng; Guanyu Nie; Junwei Liao; Jun Wang 152; Xiaoyun Mo; Jiamu Zhou; Cheng Cheng; Yin Zhao; Jun Wang 020; Weinan Zhang 001 (CoRR, 2024)

Robust Function-Calling for On-Device Language Model via Function Masking. - Qiqiang Lin; Muning Wen; Qiuying Peng; Guanyu Nie; Junwei Liao; Jun Wang 012; Xiaoyun Mo; Jiamu Zhou; Cheng Cheng; Yin Zhao; Jun Wang 012; Weinan Zhang 001 (ICLR, 2025)

Stochastic k-Submodular Bandits with Full Bandit Feedback. - Guanyu Nie; Vaneet Aggarwal; Christopher John Quinn (AAMAS, 2025)