3 papers
math.OC2025
High Probability Convergence of Distributed Clipped Stochastic Gradient Descent with Heavy-tailed Noise
Yuchen Yang, Kaihong Lu, Long Wang
In this paper, the problem of distributed optimization is studied via a network of agents. Each agent only has access to a noisy gradient of its own objective function, and can com…
cs.LG2025
Ignite Forecasting with SPARK: An Efficient Generative Framework for Refining LLMs in Temporal Knowledge Graph Forecasting
Gongzhu Yin, Hongli Zhang, Yi Luo +3
Temporal Knowledge Graph (TKG) forecasting is crucial for predicting future events using historical data. With the surge of Large Language Models (LLMs), recent studies have begun…
cs.AI2025
Inductive Link Prediction on N-ary Relational Facts via Semantic Hypergraph Reasoning
Gongzhu Yin, Hongli Zhang, Yuchen Yang +1
N-ary relational facts represent semantic correlations among more than two entities. While recent studies have developed link prediction (LP) methods to infer missing relations for…