Lectures related to Ising Simulation: Update Methods and Measurements

Causal Inference: Learning Graph Structures

Explores causal inference through learning graph structures for causal reasoning from observational data.

Graph Neural Networks: Interconnected World

Explores learning from interconnected data with graphs, covering modern ML research goals, pioneering methods, interdisciplinary applications, and democratization of graph ML.

Terminologie: Functions Graph Discussion

Covers the terminology related to the graph of a function and intervals.

Graph Processing: Oracle Labs PGX

Covers graph processing with a focus on Oracle Labs PGX, discussing graph analytics, databases, algorithms, and distributed analytics challenges.

An Example: Graph of a Function

Analyzes a function's graph, discussing local and global extrema and concavity intervals.

Solving Parity Games in Practice

Explores practical aspects of solving parity games, including winning strategies, algorithms, complexity, determinism, and heuristic approaches.

Minimum Spanning Trees: Prim's Algorithm

Explores Prim's algorithm for minimum spanning trees and introduces the Traveling Salesman Problem.

Equation of Tangent Hyperplane

Explores finding the equation of a tangent hyperplane to a function and its implications.