Recordings

Optimization

Lecture 1: Mathematical preliminaries and optimality conditions for unconstrained optimization []

Lecture 2: Gradient descent and Newton's method []

Lecture 3: Convexity and convex optimization []

Lecture 4: Linear programming and semidefinite programming []

Lecture 5: The death of local realism. And yet, the evidence for epistemic []

Lecture 6: Foils and reconstructions []

Lecture 7: Wigner and his friends []

Lecture 8: A casual survey of the causal []

Lecture 9: De Finetti and the unknown [Shravan Shravan and Chaithanya Rayudu]