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20242026
most citedA Survey on Large Language Model-based Agents for Statistics and Data Science

20 citations · 30 across the 11 of their papers we have counts for

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cs.AI2024★ 20 cited

A Survey on Large Language Model-based Agents for Statistics and Data Science

Maojun Sun, Ruijian Han, Binyan Jiang +4

In recent years, data science agents powered by Large Language Models (LLMs), known as "data agents," have shown significant potential to transform the traditional data analysis pa…

math.OC2024

HPR-LP: An implementation of an HPR method for solving linear programming

Kaihuang Chen, Defeng Sun, Yancheng Yuan +2

In this paper, we introduce an HPR-LP solver, an implementation of a Halpern Peaceman-Rachford (HPR) method with semi-proximal terms for solving linear programming (LP). The HPR me…

math.OC2024

HOT: An Efficient Halpern Accelerating Algorithm for Optimal Transport Problems

Guojun Zhang, Zhexuan Gu, Yancheng Yuan +1

This paper proposes an efficient HOT algorithm for solving the optimal transport (OT) problems with finite supports. We particularly focus on an efficient implementation of the HOT…

cs.AI2024★ 10 cited

LAMBDA: A Large Model Based Data Agent

Maojun Sun, Ruijian Han, Binyan Jiang +4

We introduce LArge Model Based Data Agent (LAMBDA), a novel open-source, code-free multi-agent data analysis system that leverages the power of large language models. LAMBDA is des…

math.OC2024

Accelerating preconditioned ADMM via degenerate proximal point mappings

Defeng Sun, Yancheng Yuan, Guojun Zhang +1

In this paper, we aim to accelerate a preconditioned alternating direction method of multipliers (pADMM), whose proximal terms are convex quadratic functions, for solving linearly…