Function Approximation Courses
Alan Turing Institute via YouTube Theory of Graph Neural Networks: Representation and Learning
International Mathematical Union via YouTube On the Statistical Complexity of Reinforcement Learning
Institute for Pure & Applied Mathematics (IPAM) via YouTube Calculus 2 - Approximation of Functions by Taylor Polynomials
Professor Leonard via YouTube Calculus 2 - Representation of Functions by Taylor Series and Maclaurin Series
Professor Leonard via YouTube Online Reinforcement Learning and Regret
Simons Institute via YouTube On the Topological Expressiveness of Neural Networks
Applied Algebraic Topology Network via YouTube Approximation of Generalized Ridge Functions in High Dimensions – Sandra Keiper
Alan Turing Institute via YouTube Interpretable Hierarchical Calibration of Agent-Based Models
The Julia Programming Language via YouTube Provably Efficient Adversarial Imitation Learning with Unknown Transitions - Oral Session 4
Uncertainty in Artificial Intelligence via YouTube