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A Statistical Theory of Contrastive Pre-training and Multimodal Generative AI

Generalization and overfitting in two-layer neural networks

Emergence and scaling laws for SGD learning and Learning Compositional Functions with Transformers

Local minima of the empirical risk in high dimension

Weak-to-Strong Generalization Even in Random Feature Networks, Provably

Benefits of Early Stopping in Gradient Descent for Overparameterized Logistic Regression

Pencil: Long Thoughts with Short Memory

Sean Welleck

Federated and Collaborative Learning Workshop Image

Call for Research Fellow Applications

Applications for postdoctoral-level research fellowships in the Spring 2026 research program on Federated and Collaborative Learning are due April 1.