approximation theory
- Algorithm- and Data-Dependent Generalization Bounds for Diffusion Models
- Beyond Least Squares: Uniform Approximation and the Hidden Cost of Misspecification
- Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification
- Optimal Minimum Width for the Universal Approximation of Continuously Differentiable Functions by Deep Narrow MLPs
- Vocabulary In-Context Learning in Transformers: Benefits of Positional Encoding