As a fundamental technology of artificial intelligence, existing machine learning (ML) methods often rely on extensive human intervention and manually presetting, like manually collecting, selecting, ...

Kernel methods represent a cornerstone in modern machine learning, enabling algorithms to efficiently derive non-linear patterns by implicitly mapping data into high‐dimensional feature spaces. At the ...

Devoted to faculty and students that are interested in developing new machine learning algorithms and techniques, and seek to deepen our understanding of existing ones. Machine learning provides the ...

This individual project will study how a multi-agent-based system can leverage large language models (LLMs) to enhance the negotiation process among the resources in the multi-agent system and, when ...

Are you contemplating a PhD and interested in economic or social science applications of machine learning? You might be a good fit for our pre-doc position. The Center for Applied Artificial ...