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Nikki Lijing Kuang
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Conference and Workshop Papers
- 2023
- [c7]Amin Karbasi, Nikki Lijing Kuang, Yi-An Ma, Siddharth Mitra:
Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning. ICML 2023: 15828-15860 - [c6]Nikki Lijing Kuang, Ming Yin, Mengdi Wang, Yu-Xiang Wang, Yian Ma:
Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation. NeurIPS 2023 - 2019
- [c5]Nikki Lijing Kuang, Clement H. C. Leung:
Analysis of Evolutionary Behavior in Self-Learning Media Search Engines. IEEE BigData 2019: 643-650 - [c4]Nikki Lijing Kuang, Clement H. C. Leung:
Leveraging Reinforcement Learning Techniques for Effective Policy Adoption and Validation. ICCSA (2) 2019: 311-322 - [c3]Nikki Lijing Kuang, Clement H. C. Leung:
Performance Effectiveness of Multimedia Information Search Using the Epsilon-Greedy Algorithm. ICMLA 2019: 929-936 - 2018
- [c2]Nikki Lijing Kuang, Clement H. C. Leung:
Performance Dynamics and Termination Errors in Reinforcement Learning - A Unifying Perspective. AIKE 2018: 129-133 - [c1]Nikki Lijing Kuang, Clement H. C. Leung, Vienne W. K. Sung:
Stochastic Reinforcement Learning. AIKE 2018: 244-248
Informal and Other Publications
- 2024
- [i9]Dongxia Wu, Nikki Lijing Kuang, Ruijia Niu, Yi-An Ma, Rose Yu:
Diff-BBO: Diffusion-Based Inverse Modeling for Black-Box Optimization. CoRR abs/2407.00610 (2024) - 2023
- [i8]Amin Karbasi, Nikki Lijing Kuang, Yi-An Ma, Siddharth Mitra:
Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning. CoRR abs/2306.08803 (2023) - [i7]Nikki Lijing Kuang, Ming Yin, Mengdi Wang
, Yu-Xiang Wang, Yi-An Ma:
Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation. CoRR abs/2310.18919 (2023) - 2022
- [i6]Kush Bhatia, Nikki Lijing Kuang, Yi-An Ma, Yixin Wang:
Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection. CoRR abs/2207.11208 (2022) - 2019
- [i5]Nikki Lijing Kuang, Clement H. C. Leung, Vienne W. K. Sung:
Stochastic Reinforcement Learning. CoRR abs/1902.04178 (2019) - [i4]Nikki Lijing Kuang, Clement H. C. Leung:
Performance Dynamics and Termination Errors in Reinforcement Learning: A Unifying Perspective. CoRR abs/1902.04179 (2019) - [i3]Nikki Lijing Kuang, Clement H. C. Leung:
Leveraging Reinforcement Learning Techniques for Effective Policy Adoption and Validation. CoRR abs/1906.09340 (2019) - [i2]Nikki Lijing Kuang, Clement H. C. Leung:
Analysis of Evolutionary Behavior in Self-Learning Media Search Engines. CoRR abs/1911.09882 (2019) - [i1]Nikki Lijing Kuang, Clement H. C. Leung:
Performance Effectiveness of Multimedia Information Search Using the Epsilon-Greedy Algorithm. CoRR abs/1911.09891 (2019)
Coauthor Index
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