3 papers
cs.LG2025
LLM-Driven Composite Neural Architecture Search for Multi-Source RL State Encoding
Yu Yu, Qian Xie, Nairen Cao +1
Designing state encoders for reinforcement learning (RL) with multiple information sources -- such as sensor measurements, time-series signals, image observations, and textual inst…
cs.DS2025
Solving the Correlation Cluster LP in Sublinear Time
Nairen Cao, Vincent Cohen-Addad, Shi Li +7
Correlation Clustering is a fundamental and widely-studied problem in unsupervised learning and data mining. The input is a graph and the goal is to construct a clustering minimizi…
cs.DS2024
Simultaneously Approximating All Norms for Massively Parallel Correlation Clustering
Nairen Cao, Shi Li, Jia Ye
We revisit the simultaneous approximation model for the correlation clustering problem introduced by Davies, Moseley, and Newman[DMN24]. The objective is to find a clustering that…