Covers transformer architecture and subquadratic attention mechanisms, focusing on efficient approximations and their applications in machine learning.
Explores the formulation and complexity of Support Vector Machines, including primal and dual forms, geometric interpretation, and algorithmic implications.
Covers the implementation and verification of encoder and decoder for prefix-free codes, including classes and types, lemmas on trees, and the main theorem.