ICML

Light-Weight Benchmarks Reveal the Hidden Hardware Cost of Zero-Shot Tabular Foundation Models

轻量级基准揭示零样本表格基础模型的隐藏硬件成本

Ishaan Gangwani, Aayam Bansal

AI总结 研究通过轻量级基准测试揭示了零样本表格基础模型在准确率与硬件开销之间的权衡，发现树形模型在多个数据集上表现优异且硬件消耗更低。

Comments ICML NewInML

Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting

集成学习策略的理论保障及其在时间序列预测中的应用

Hilaf Hasson, Danielle C. Maddix, Yuyang Wang, Gaurav Gupta, Youngsuk Park

机构 * AWS AI Labs（AWS人工智能实验室） 纠错

AI总结 本文提出了一种在时间序列预测中应用的集成学习方法，通过理论分析证明其在堆叠泛化中的有效性，并通过实验验证了其性能优势。

Comments Published at ICML 2023. In this version, we clarify that the proof in fact yields a strictly stronger bound than the one stated in the ICML version