Algorithmic Learning Theory - Sink Equilibria, Game Convergence, and Data-Dependent Learning - Session 2

Algorithmic Learning Theory - Sink Equilibria, Game Convergence, and Data-Dependent Learning - Session 2

Fields Institute via YouTube Direct link

Strategy-robust Online Learning in Contextual Pricing - 19:54-

3 of 5

3 of 5

Strategy-robust Online Learning in Contextual Pricing - 19:54-

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Algorithmic Learning Theory - Sink Equilibria, Game Convergence, and Data-Dependent Learning - Session 2

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  1. 1 Sink equilibria and the attractors of learning in games - -8:16
  2. 2 Last-iterate Convergence for Symmetric, General-sum, 2 × 2 Games Under The Exponential Weights Dynamic - 8:21-
  3. 3 Strategy-robust Online Learning in Contextual Pricing - 19:54-
  4. 4 A Novel Data-Dependent Learning Paradigm for Large Hypothesis Classes - 31:20-
  5. 5 Learning from Synthetic Data: Limitations of ERM - 43:45-

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