3 papers
stat.AP2025
StatLLM: A Dataset for Evaluating the Performance of Large Language Models in Statistical Analysis
Xinyi Song, Lina Lee, Kexin Xie +3
The coding capabilities of large language models (LLMs) have opened up new opportunities for automatic statistical analysis in machine learning and data science. However, before th…
cs.DS2025
Learning Neural Networks with Distribution Shift: Efficiently Certifiable Guarantees
Gautam Chandrasekaran, Adam R. Klivans, Lin Lin Lee +1
We give the first provably efficient algorithms for learning neural networks with distribution shift. We work in the Testable Learning with Distribution Shift framework (TDS learni…
stat.AP2025
Performance Evaluation of Large Language Models in Statistical Programming
Xinyi Song, Kexin Xie, Lina Lee +10
The programming capabilities of large language models (LLMs) have revolutionized automatic code generation and opened new avenues for automatic statistical analysis. However, the v…