theoretical characterization
- Composition and Alignment of Diffusion Models using Constrained Learning
- Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference
- Transformers Learn Faster with Semantic Focus
- Understanding the Generalization of Stochastic Gradient Adam in Learning Neural Networks