9 papers
Data-Topology Compatibility Enables Personalization in Decentralized Learning
Veronica Xu, Lingfei Wang, Chenlei Leng +1
Decentralized learning must balance collaboration with personalization across heterogeneous agents. This paper studies when cooperation can support statistically coherent groups of…
DAG-Math: Graph-of-Thought Guided Mathematical Reasoning in LLMs
Yuanhe Zhang, Ilja Kuzborskij, Jason D. Lee +2
Large Language Models (LLMs) demonstrate strong performance on mathematical problems when prompted with Chain-of-Thought (CoT), yet it remains unclear whether this success stems fr…
Regression Analysis of Reciprocity in Directed Networks
Rui Feng, Chenlei Leng
Reciprocity--the tendency of individuals to form mutual ties--is a fundamental structural feature of many directed networks. Despite its ubiquity, reciprocity remains insufficientl…
Causal Inference under Interference: Regression Adjustment and Optimality
Xinyuan Fan, Chenlei Leng, Weichi Wu
In randomized controlled trials without interference, regression adjustment is widely used to enhance the efficiency of treatment effect estimation. This paper extends this efficie…
Low-Rank Graphon Learning for Networks
Xinyuan Fan, Feiyan Ma, Chenlei Leng +1
Graphons offer a powerful framework for modeling large-scale networks, yet estimation remains challenging. We propose a novel approach that leverages a low-rank additive representa…
Modelling Directed Networks with Reciprocity
Rui Feng, Chenlei Leng
Asymmetric relational data is increasingly prevalent across diverse fields, underscoring the need for directed network models to address the complex challenges posed by their uniqu…
Covariance Function Estimation for High-Dimensional Functional Time Series with Dual Factor Structures
Chenlei Leng, Degui Li, Hanlin Shang +1
We propose a flexible dual functional factor model for modelling high-dimensional functional time series. In this model, a high-dimensional fully functional factor parametrisation…
Residual Importance Weighted Transfer Learning For High-dimensional Linear Regression
Junlong Zhao, Shengbin Zheng, Chenlei Leng
Transfer learning is an emerging paradigm for leveraging multiple sources to improve the statistical inference on a single target. In this paper, we propose a novel approach named…
A Random Graph-based Autoregressive Model for Networked Time Series
Weichi Wu, Chenlei Leng
Contemporary time series data often feature objects connected by a social network that naturally induces temporal dependence involving connected neighbours. The network vector auto…