Date | Topics | Scribes |
---|---|---|
Tue, Aug 23, 2022 | Course overview, and summary of all listed papers | |
Thu, Aug 25, 2022 | Course-Overview-contd. | |
Tue, Aug 30, 2022 | Fisher Markets, Eisenberg Gale Program, and Flow-Based Algorithms | |
Thu, Sept 1, 2022 | Discrete Setting: EF1 + fPO | |
Tue, Sept 6, 2022 | Nash welfare: Concepts and Algorithms | |
Thu, Sept 8, 2022 | EFX: Concepts and Basic Algorithms | |
Tue, Sept 13, 2022 | EFX with Bounded Charity | |
Thu, Sept 15, 2022 | EFX with Bounded Charity + High Nash Welfare | |
Tue, Sept 20, 2022 | Fairness in Machine Learning: Basic Concepts and Philosophy | |
Thu, Sept 22, 2022 | Fairness in Machine Learning: Advanced Concepts and Algorithms | |
Tue, Sept 27, 2022 | Voting Theory: Overview and Impossibility (GS Theorem) | |
Thu, Sept 29, 2022 | Cancelled | |
Tue, Oct 4, 2022 | Voting Theory: Overcoming GS Barrier | |
Thu, Oct 6, 2022 | Advanced Topics: Fair Division and Zero Sum Combinatorics | |
Tue, Oct 11, 2022 | Advanced Topics: Fair Division of Chores | |
Thu, Oct 13, 2022 | Advanced Topics: Randomized Voting | |
Tue, Oct 18, 2022 | Student Talk 1: Yin, Lang: EFX Exists for Three Agents | |
Thu, Oct 20, 2022 | Student Talk 2: Sengupta, Rounak: Improving EFX Guarantees Through Rainbow Cycle Number. | |
Tue, Oct 25, 2022 | Student Talk 3: Lee, Andy: Fair Enough: Guaranteeing Approximate Maximin Shares. | |
Thu, Oct 27, 2022 | Student Talk 4: Balepur, Naina: Fair Allocation of Indivisible Public Goods | |
Tue, Nov 1, 2022 | Student Talk 5: Hu, Yuzheng: Equality of Opportunity in Supervised Learning | |
Thu, Nov 3, 2022 | Student Talk 6: Stinar, Frank: Learning Fair Representations. | |
Tue, Nov 8, 2022 | Student Talk 7: Ferwana, Ibtihal: Counterfactual Fairness. | |
Thu, Nov 10, 2022 | Student Talk 8: Hulett, James: Resolving the Optimal Metric Distortion Conjecture | |
Fisher Markets
Chapter 5 of Algorithmic Game Theory Textbook
Paper1 Paper 2
EF1+PO + Nash Welfare
Paper
EFX Allocations Basics
Paper
EFX Allocations with Bounded Charity
Paper
EFX Allocations with High Nash Welfare
Paper
Fairness in ML (basic Definitions)
Chapter 3 in the book
Voting Theory Overveiw and Impossibility (GS)
Chapter 2 in the book
Voting Theory: Overcoming the GS Barrier
Paper