Jason Lee

@jasondeanlee.bsky.social

Associate Professor at Princeton Machine Learning Researcher

Our new work on scaling laws that includes compute, model size, and number of samples. The analysis involves an extremely fine-grained analysis of online sgd built up over the last 8 years of understanding sgd on simple toy models (tensors, single index models, multi index model)

Eshaan Nichani@eshaannichani.bsky.social · last yr.

Excited to announce a new paper with Yunwei Ren, Denny Wu, @jasondeanlee.bsky.social! We prove a neural scaling law in the SGD learning of extensive width two-layer neural networks. arxiv.org/abs/2504.19983 🧵below (1/10)

Assume that the nodes of a social network can choose between two alternative technologies: B and X. A node using B receives a benefit with respect to X, but there is a benefit to using the same tech as the majority of your neighbors. Assume everyone uses X at time t=0. Will they switch to B?

Spread of innovation in a small world network.