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Ze Jin
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Recommendation System
Factorization Machine
Negative Sampling
Debias
User Behavior Sequence Modeling
Game Theory
Lecture 2 Mixed Strategies, Expected Payoffs, and Nash Equilibrium
Lecture 3 Nash’s Theorem
Lecture 4 Zero-sum games, and the Minimax Theorem
Lecture 5 Introduction to Linear Programming
Lecture 6 The Simplex Algorithm
Lecture 7 LP Duality
Lecture 8 Computing Solutions for General Finite Strategic Games, Part I
Lecture 9 Computing Solutions for General Strategic Games, Part II
Lecture 10 Games in Extensive Form
Lecture 11 Games of Perfect Information
Lecture 12 Games on Graphs
Lecture 15 A brief taster of Markov Decision Processes and Stochastic Games
Lecture 16 Selfish Network Routing, Congestion Games, and the Price of Anarchy
Lecture 17 A first look at Auctions and Mechanism Design
Lecture 18 Auctions and Mechanism Design II
Lecture 19 Auctions and Mechanism Design III
Time Series Prediction
TimesNet
Large Language Models
GPT: The Begin
Recommendation System
Table of contents
Factorization Machine
Negative Sampling
Debias
User Behavior Sequence Modeling