Nikki Lijing Kuang

1. Diffusion-BBO: Diffusion-Based Inverse Modeling for Online Black-Box Optimization
   2024/06/30 by Dongxia Wu, Nikki Lijing Kuang, Wu, Dongxia +7 · 4 citations
   Computer Science · Engineering · #Advanced Control Systems Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Metaheuristic Optimization Algorithms Research #Scheduling and Optimization Algorithms
2. Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection
   2022/07/22 by Kush Bhatia, Nikki Lijing Kuang, Bhatia, Kush +5 · 2 citations
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
3. LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning
   2025/10/06 by Haoqiang Kang, Kang, Haoqiang, Yizhe Zhang +11 · 3 citations
   Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
4. Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning
   2023/06/15 by Amin Karbasi, Nikki Lijing Kuang, Karbasi, Amin +5 · 1 citation
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #G.3 #I.2.0 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Mobile Crowdsensing and Crowdsourcing
5. Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walk
   2024/10/08 by Yuzhou Gu, Nikki Lijing Kuang, Gu, Yuzhou +7 · 1 citation
   Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Point processes and geometric inequalities
6. Almost Linear Convergence under Minimal Score Assumptions: Quantized Transition Diffusion
   2025/05/28 by Xunpeng Huang, Yingyu Lin, Huang, Xunpeng +11 · 3 citations
   Computer Science · Mathematics · #Generative Adversarial Networks and Image Synthesis #Markov Chains and Monte Carlo Methods #Stochastic Gradient Optimization Techniques
7. RRPO: Reference-Relative Policy Optimization with Stratified Conditional Rollouts
   2026/07/20 by Yuxin Xiong, Xunyi Jiang, Rohan Surana +8
   Computer Science · #cs.LG #cs.AI