Talks and presentations
Theoretical and Algorithmic Foundations of In-Context Learning Using Properly Trained Transformer Models. IBM-RPI FCRC Seminar Series. slides; poster
A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity. ICLR 2023 poster presentation. video
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling. ICML 2022 short presentation. video