3 papers
cs.LG2025
In-Context Clustering with Large Language Models
Ying Wang, Mengye Ren, Andrew Gordon Wilson
We propose In-Context Clustering (ICC), a flexible LLM-based procedure for clustering data from diverse distributions. Unlike traditional clustering algorithms constrained by prede…
stat.ML2025
Response to Promises and Pitfalls of Deep Kernel Learning
Andrew Gordon Wilson, Zhiting Hu, Ruslan Salakhutdinov +1
This note responds to "Promises and Pitfalls of Deep Kernel Learning" (Ober et al., 2021). The marginal likelihood of a Gaussian process can be compartmentalized into a data fit te…
cs.LG2025
Deep Learning is Not So Mysterious or Different
Andrew Gordon Wilson
Deep neural networks are often seen as different from other model classes by defying conventional notions of generalization. Popular examples of anomalous generalization behaviour…