Performance Dynamics and Termination Errors in Reinforcement Learning - A Unifying Perspective. - Nikki Lijing Kuang; Clement H. C. Leung (AIKE, 2018)

Stochastic Reinforcement Learning. - Nikki Lijing Kuang; Clement H. C. Leung; Vienne W. K. Sung (AIKE, 2018)

Analysis of Evolutionary Behavior in Self-Learning Media Search Engines. - Nikki Lijing Kuang; Clement H. C. Leung (IEEE BigData, 2019)

Leveraging Reinforcement Learning Techniques for Effective Policy Adoption and Validation. - Nikki Lijing Kuang; Clement H. C. Leung (ICCSA (2), 2019)

Performance Effectiveness of Multimedia Information Search Using the Epsilon-Greedy Algorithm. - Nikki Lijing Kuang; Clement H. C. Leung (ICMLA, 2019)

Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection. - Kush Bhatia; Nikki Lijing Kuang; Yi-An Ma; Yixin Wang (CoRR, 2022)

Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning. - Amin Karbasi; Nikki Lijing Kuang; Yi-An Ma; Siddharth Mitra (ICML, 2023)

Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation. - Nikki Lijing Kuang; Ming Yin 003; Mengdi Wang; Yu-Xiang Wang 003; Yian Ma (NeurIPS, 2023)

Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walk. - Yuzhou Gu; Nikki Lijing Kuang; Yian Ma; Zhao Song 002; Lichen Zhang 003 (NeurIPS, 2024)

Diff-BBO: Diffusion-Based Inverse Modeling for Black-Box Optimization. - Dongxia Wu; Nikki Lijing Kuang; Ruijia Niu; Yi-An Ma; Rose Yu (CoRR, 2024)

Log-concave Sampling over a Convex Body with a Barrier: a Robust and Unified Dikin Walk. - Yuzhou Gu; Nikki Lijing Kuang; Yi-An Ma; Zhao Song 002; Lichen Zhang 003 (CoRR, 2024)

Almost Linear Convergence under Minimal Score Assumptions: Quantized Transition Diffusion. - Xunpeng Huang; Yingyu Lin; Nikki Lijing Kuang; Hanze Dong; Difan Zou; Yian Ma; Tong Zhang 001 (CoRR, 2025)