In this session, we talk about different simplifying decompositions for networks and their applications to obtain approximation algorithms, in particular PTASs, and fixed parameter algorithms.
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Lesson 11: Computational Game Theory by Mohammad Hajiaghayi: Price of Anarchy and Braess's Paradox
Lesson 24: Network Algorithms and Approximations by Mohammad Hajiaghayi:Steiner Tree (Peyman Jabbar)
Lesson 10: Computational Game Theory by Mohammad Hajiaghayi: Ɛ-Nash Equilibria and Dominant Strategy
Lesson 9: Computational Game Theory by Mohammad Hajiaghayi: Finding Nash Equilibria
Lesson 8: Computational Game Theory by Mohammad Hajiaghayi: Best Response and Nash Equilibrium
Lesson 7: Computational Game Theory by Mohammad Hajiaghayi: Analyzing Normal Form Games
Lesson 6: Computational Game Theory by Mohammad Hajiaghayi: Important Normal Form Games
Lesson 5: Computational Game Theory by Mohammad Hajiaghayi: Normal Form Games
Lesson 4: Computational Game Theory by Mohammad Hajiaghayi: Introduction to Linear Programming
Lesson 3: Computational Game Theory by Mohammad Hajiaghayi: Introduction to Probability Theory Part2
Lesson 2: Computational Game Theory by Mohammad Hajiaghayi: Introduction to Probability Theory Part1
Lesson 1: Computational Game Theory by Mohammad Hajiaghayi: Introduction and Motivation
Lesson 13: Principles of Data Science by Mohammad Hajiaghayi: Data Science Ethics and Best Practices
Lesson 12: Principles of Data Science by Mohammad Hajiaghayi: Information Visualization
Lesson 10: Principles of Data Science by Mohammad Hajiaghayi: Entity Resolution, Missing Data
Lesson 9: Principles of Data Science by Mohammad Hajiaghayi: Data Wrangling and Cleaning
Lesson 8: Principles of Data Science by Mohammad Hajiaghayi: Data Modeling, SQL & NoSQL
Lesson 7: Principles of Data Science by Mohammad Hajiaghayi: Data Modeling & Computation Tools
Lesson 6: Principles of Data Science by Mohammad Hajiaghayi: Data Collection and Loading Tools
Lesson 5: Principles of Data Science by Mohammad Hajiaghayi: Basic Statistics and ML Algorithms
Lesson 4: Principles of Data Science by Mohammad Hajiaghayi: Basic Concepts and Tools, Part 2
Lesson 3: Principles of Data Science by Mohammad Hajiaghayi: Basic Concepts and Tools, Part 1
Lesson 2: Principles of Data Science by Mohammad Hajiaghayi: Introduction and Further Motivations
Lesson 1: Principles of Data Science by Mohammad Hajiaghayi: Introduction to Data Science